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Distributed Algorithms for Computing Very Large Thresholded Covariance Matrices

Computation of covariance matrices from observed data is an important problem, as such matrices are used in applications such as principal component... (more)

World Knowledge as Indirect Supervision for Document Clustering

One of the key obstacles in making learning protocols realistic in applications is the need to supervise them, a costly process that often requires... (more)

Permanence and Community Structure in Complex Networks

The goal of community detection algorithms is to identify densely connected units within large networks. An implicit assumption is that all the... (more)

Partitioning Networks with Node Attributes by Compressing Information Flow

Real-world networks are often organized as modules or communities of similar nodes that serve as functional units. These networks are also rich in... (more)

Scalable and Accurate Online Feature Selection for Big Data

Feature selection is important in many big data applications. Two critical challenges closely associate with big data. First, in many big data... (more)

Structural Analysis of User Choices for Mobile App Recommendation

Advances in smartphone technology have promoted the rapid development of mobile apps. However, the availability of a huge number of mobile apps in... (more)

Assignment Problems of Different-Sized Inputs in MapReduce

A MapReduce algorithm can be described by a mapping schema, which assigns inputs to a set of reducers, such that for each required output there exists... (more)

Unsupervised Head--Modifier Detection in Search Queries

Interpreting the user intent in search queries is a key task in query understanding. Query intent classification has been widely studied. In this... (more)

Lifecycle Modeling for Buzz Temporal Pattern Discovery

In social media analysis, one critical task is detecting a burst of topics or buzz, which is reflected by extremely frequent mentions of certain... (more)

A Novel Bipartite Graph Based Competitiveness Degree Analysis from Query Logs

Competitiveness degree analysis is a focal point of business strategy and competitive intelligence, aimed to help managers closely monitor to what... (more)

Comparing Clustering with Pairwise and Relative Constraints

Clustering can be improved with the help of side information about the similarity relationships among instances. Such information has been commonly... (more)

Mining for Topics to Suggest Knowledge Model Extensions

Electronic concept maps, interlinked with other concept maps and multimedia resources, can provide rich knowledge models to capture and share human... (more)

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About TKDD 

The ACM Transactions on Knowledge Discovery from Data (TKDD) publishes original archival papers in the area of knowledge discovery from data and closely related disciplines.  The majority of the papers that appear in TKDD is expected to address the logical and technical foundation of knowledge discovery and data mining.

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Forthcoming Articles
Combining Structured Node Content and Topology Information for Networked Graph Clustering

In this paper, we formulate a new networked graph clustering task where the network contains a set of inter-connected (or networked) super-nodes, each of which is a single-attribute graph. The new super-node representation is applicable for many real-world applications, such as a citation network where each node denotes a paper whose content can be described as a graph and citation relationships between all papers form a super-graph. Networked graph clustering is to find similar node groups, each of which contains nodes with similar content and structure information. The main challenge is to properly calculate the similarity between super-nodes for clustering. To solve the problem, we propose to characterize node similarity by integrating the structure and content information of each super-node. To measure node content similarity, we use cosine distance by considering the overlapped attributes between two super-nodes. To measure structure similarity, we propose an attributed random walk kernel to calculate similarity between super-nodes. Detailed node content analysis is also included to build relationships between super-nodes with shared internal structure information, so the structure similarity can be calculated in a precise way. By integrating the structure similarity and content similarity as one matrix, the spectral clustering is used to achieve networked graph clustering.

Recommendations Based on Comprehensively Exploiting the Latent Factors Hidden in Items' Ratings and Content

In this study, we propose a probabilistic approach that we denote as latent random walk (LRW) based on the combination of an integrated latent topic model and random walk (RW) with the restart method, which can be used to rank items according to expected user preferences by detecting both their explicit and implicit correlative information, in order to recommend top-ranked items to potentially interested users. As presented in this paper, the goal of this work is to comprehensively discover latent factors hidden in items' ratings and content in order to alleviate the data sparsity problem and to improve the performance of recommender systems. The proposed topic model provides a generative probabilistic framework that discovers users' implicit preferences and items' latent features simultaneously by exploiting both ratings and item content information. On the basis of this probabilistic framework, RW can predict a user's preference for unrated items by discovering global latent relations. In order to show the efficiency of the proposed approach, we test LRW and other state-of-the-art methods on two real-world datasets, namely, the Yahoo! and CAMRa2011 movie datasets. The experiments indicate that our approach outperforms all comparative methods and, in addition, that it is less sensitive to the data sparsity problem, thus demonstrating the robustness of LRW for recommendation tasks.

Robust Graph Regularized Nonnegative Matrix Factorization for Clustering

Matrix factorization is often used for data representation in many data mining and machine learning areas. In particular, for a data set without any negative entries, nonnegative matrix factorization is often used to find a low-rank approximation by the product of two nonnegative matrices. With reduced dimensions, these matrices can be effectively used for many applications such as clustering. The existing methods of nonnegative matrix factorization are often afflicted with their sensitivity to outliers and noise in the data. To mitigate this drawback, in this paper we consider a robust formulation that effectively captures noise and outliers in the approximation while incorporating essential nonlinear structures. A set of comprehensive empirical evaluations in clustering applications demonstrates that the proposed method has strong robustness to gross errors and superior performance to current state-of-the-art methods.

Partitioned Similarity Search with Cache-Conscious Data Traversal

All pairs similarity search (APSS) is used in many web search and data mining applications. Previous work has used comparison filtering, inverted indexing, and parallel accumulation of partial intermediate results to expedite its execution. However, shuffling intermediate results can incur significant communication overhead as data scales up. This paper studies a scalable two-step approach called Partition-based Similarity Search (PSS). The first stage is to partition the data and group potentially similar vectors. The second stage is to run a set of tasks where each task compares a partition of vectors with other candidate partitions. Because of data sparsity, accessing feature vectors in memory during runtime partition comparison incurs significant overhead due to the presence of memory hierarchy. This paper also optimizes data traversal with a cache-conscious layout to reduce the execution time through size-controlled data splitting and vector coalescing, and provides an analysis to guide the optimal choice for the parameter setting. The evaluation results show that the proposed approach leads to an early elimination of unnecessary I/O and data communication while sustaining parallel efficiency with one order of magnitude of performance improvement and it can also be integrated with LSH for approximated APSS.

Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining

In the era of big data, a mechanism that can automatically annotate disease codes to patients' records in the medical information system is in demand. The purpose of this work is to propose a framework that automatically annotates disease labels of multi-source patient data in ICU. We extract features from two main sources, medical charts and notes. The Bag-of-Words (BoW) model is used to encode the features. Different from most of the existing multi-label learning algorithms that globally consider correlations among diseases, our model learns disease correlation locally in the patient data. To achieve this, we derive a local disease correlation representation to enrich the discriminant power of each patient data. This representation is embedded into a unified multi-label learning framework. We develop an alternating algorithm to optimize the objective function iteratively. Extensive experiments have been conducted on a real-world Intensive Care Units (ICU) database. We have compared our algorithm with representative multi-label learning algorithms. Evaluation results have shown that our proposed method has state-of-the-art performance in multiple diagnostic codes annotation for ICU patients. This study suggests that the problems in the automated diagnosis code annotation can be reliably addressed by using a multi-label learning model with disease correlation exploiting. The findings of this study will redound to the benefits of health care and management in ICU considering that the automated diagnosis code annotation can significantly improve health care quality and management for both patients and caregivers.

Mining Redescriptions with Siren

In many areas of science, scientists need to find distinct common characterizations of the same objects and, vice versa, identify sets of objects that admit multiple shared descriptions. For example, in biology, an important task is to identify the bioclimatic constraints that allow some species to survive, that is, to describe geographical regions in terms of both the fauna that inhabits them and their bioclimatic conditions. In data analysis, the task of automatically generating such alternative characterizations is called redescription mining. If a domain expert wants to use redescription mining in his research, merely being able to find them is not enough; he must also be able to understand the redescriptions found, adjust them to better match his domain knowledge, test alternative hypotheses with them, and guide the mining process towards results he considers interesting. To facilitate these goals, we introduce Siren, an interactive tool for mining and visualizing redescriptions. Siren allows for efficient, distributed mining of the redescriptions in an anytime fashion, various linked visualizations of the results, interaction with the results either directly or via the visualizations, and guiding the mining algorithm for specific redescriptions. In this paper we explain the features of Siren and why they are useful for redescription mining. We also propose two novel redescription mining algorithms that improve the generalizability of the results compared to the existing results.

Scalable and Efficient Flow-Based Community Detection for Large-Scale Graph Analysis

Community detection is a powerful approach to uncover important structures in large networks. For real networks that often describe the flow of some entity, flow-based community detection methods are particularly important. Infomap is a flow-based community detection algorithm that optimizes the objective function known as the map equation. Third-party benchmarks have found that Infomap is the most effective algorithm for identifying clusters in large graphs. Unfortunately, though Infomap works well, it is an inherently serial algorithm and thus cannot take advantage of multi-core processing in modern computers, limiting its use for analyzing large graphs quickly. In this paper, we propose a novel algorithm to optimize the map equation called RelaxMap. RelaxMap provides two important improvements over Infomap: parallelization, so that the map equation can be optimized over much larger graphs, and prioritization, so that the most important work occurs first, iterations take less time, and the algorithm converges faster. We implement these techniques using OpenMP on shared-memory multicore systems, and evaluate our approach on a variety of graphs from standard graph clustering benchmarks as well as real graph datasets. Our evaluation shows that both techniques are effective: RelaxMap achieves 70% parallel efficiency on 8 cores, and prioritization improves algorithm performance by an additional 20%50%. Additionally, RelaxMap converges in the similar number of iterations and provides solutions of equivalent quality as the serial Infomap implementation.

Graph Manipulations for Fast Centrality Computation

Bibliometrics

Publication Years 2007-2016
Publication Count 272
Citation Count 2316
Available for Download 272
Downloads (6 weeks) 2764
Downloads (12 Months) 30261
Downloads (cumulative) 184973
Average downloads per article 680
Average citations per article 9
First Name Last Name Award
John Canny ACM Doctoral Dissertation Award (1987)
Carlos A. Castillo ACM Senior Member (2014)
Chris Clifton ACM Senior Member (2006)
Graham R. Cormode ACM Distinguished Member (2013)
Benjamin Fung ACM Senior Member (2013)
John E Hopcroft ACM Karl V. Karlstrom Outstanding Educator Award (2008)
ACM A. M. Turing Award (1986)
Piotr Indyk ACM Paris Kanellakis Theory and Practice Award (2012)
Jon Kleinberg ACM AAAI Allen Newell Award (2014)
ACM Prize in Computing (2008)
Laks Lakshmanan ACM Distinguished Member (2016)
Chih-Jen Lin ACM Distinguished Member (2011)
ACM Senior Member (2010)
Chang-Tien Lu ACM Distinguished Member (2015)
Tao Mei ACM Distinguished Member (2016)
ACM Senior Member (2012)
Filippo Menczer ACM Distinguished Member (2013)
Sethuraman Panchanathan ACM Senior Member (2009)
Jian Pei ACM Senior Member (2007)
Domenico Sacca ACM Senior Member (2007)
Jeffrey D Ullman ACM Karl V. Karlstrom Outstanding Educator Award (1997)
Hui Xiong ACM Distinguished Member (2014)
ACM Senior Member (2010)
Qiang Yang ACM Distinguished Member (2011)
Mohammed Zaki ACM Distinguished Member (2010)
Ben Yanbin Zhao ACM Distinguished Member (2015)
Yu Zheng ACM Distinguished Member (2016)
ACM Senior Member (2011)
Zhi-Hua Zhou ACM Distinguished Member (2013)
ACM Senior Member (2011)
Zhi-Hua Zhou ACM Distinguished Member (2013)
ACM Senior Member (2011)

First Name Last Name Paper Counts
Christos Faloutsos 12
Jieping Ye 7
Hui Xiong 5
Jian Pei 5
Tao Li 5
Philip YU 4
Zhihua Zhou 4
Shenghuo Zhu 4
Heng Huang 4
John Lui 4
Feiping Nie 4
Huan Liu 4
Aristides Gionis 4
Christopher Jermaine 4
John Hopcroft 3
Zhiwen Yu 3
Lise Getoor 3
Jure Leskovec 3
Malik Magdon-Ismail 3
Xiaoli Fern 3
Mingsyan Chen 3
Jilles Vreeken 3
Yun Chi 3
Yasushi Sakurai 3
Evimaria Terzi 3
Yihong Gong 3
Lei Tang 3
Bin Guo 3
Hong Cheng 3
Dingding Wang 3
Fabio Fassetti 3
Fabrizio Angiulli 3
Jianhui Chen 2
Fabrizio Sebastiani 2
Yu Zhang 2
Arthur Zimek 2
Yangqiu Song 2
Michalis Vazirgiannis 2
Junzhou Zhao 2
Xiaohong Guan 2
Geoffrey Webb 2
Panagis Magdalinos 2
Indrajit Bhattacharya 2
Qiang Yang 2
Jin Huang 2
Xiao Yu 2
Charles Ling 2
Andrea Esuli 2
Jilei Tian 2
Ping Luo 2
B Prakash 2
Yuru Lin 2
Shinjae Yoo 2
Ruoming Jin 2
Ian Davidson 2
Antonella Guzzo 2
Guofei Jiang 2
Jiawei Han 2
Jiawei Han 2
Antônio Loureiro 2
Hanghang Tong 2
Xiang Zhang 2
Daniel Kifer 2
Yan Liu 2
Laks Lakshmanan 2
Jimeng Sun 2
Don Towsley 2
Rita Chattopadhyay 2
Sucheta Soundarajan 2
Yong Ge 2
Xianchao Zhang 2
Dacheng Tao 2
Wei Ding 2
Belle Tseng 2
Enhong Chen 2
Qi Liu 2
Vivekanand Gopalkrishnan 2
Jie Tang 2
Eugene Agichtein 2
Kui Yu 2
Christopher Leckie 2
Carlotta Domeniconi 2
Sanjay Ranka 2
Jiliang Tang 2
Dantong Yu 2
Charalampos Tsourakakis 2
Jirong Wen 2
Martin Ester 2
Srinivasan Parthasarathy 2
Hari Sundaram 2
Spiros Papadimitriou 2
Joydeep Ghosh 2
Wei Fan 2
Dino Pedreschi 2
Kristina Lerman 2
Pinghui Wang 2
Hao Huang 2
Hong Qin 2
Yehuda Koren 2
Heikki Mannila 2
Panayiotis Tsaparas 2
Chengqi Zhang 2
Zhu Wang 2
Yanjie Fu 1
Yu Zheng 1
Saurav Sahay 1
Xiaowen Ding 1
Siyuan Liu 1
Jörg Sander 1
Tanmoy Chakraborty 1
David Leake 1
Chenguang Wang 1
Zhoujun Li 1
Neilzhenqiang Gong 1
Yi Chang 1
Qiang Wei 1
Maria Halkidi 1
Lei Zou 1
Luming Zhang 1
Jian Wang 1
Manos Papagelis 1
Ruud Van De Bovenkamp 1
Clyde Giles 1
Wei Peng 1
David Gleich 1
Steven Hoi 1
David Jensen 1
Tengfei Bao 1
Brook Wu 1
Glenn Fung 1
Zeeshan Syed 1
Kamalakar Karlapalem 1
Dale Schuurmans 1
Peer Kröger 1
Céline Robardet 1
Jean Boulicaut 1
Zengjian Hu 1
Boaz Ben-Moshe 1
Moshe Kam 1
Dimitrios Mavroeidis 1
Pradeep Tamma 1
Jieping Ye 1
Licong Cui 1
Xiaofeng Zhu 1
Neil Smalheiser 1
James Cheng 1
Shachar Kaufman 1
Ori Stitelman 1
Nikolaj Tatti 1
Leland Wilkinson 1
José Balcázar 1
Hockhee Ang 1
Steven Hoi 1
Weekeong Ng 1
Mengling Feng 1
Xiao Jiang 1
Lyle Ungar 1
Franco Turini 1
Comandur Seshadhri 1
Luan Tang 1
Quanquan Gu 1
Xintao Wu 1
Nick Duffield 1
Chun Li 1
Jianyong Wang 1
Petros Drineas 1
Feitony Liu 1
Sanjay Chawla 1
Jinpeng Wang 1
Arnau Prat-Pérez 1
Josep Larriba-Pey 1
Risa Myers 1
John Hutchins 1
Qingtian Zeng 1
Taneli Mielikäinen 1
Brian Gallagher 1
Manuel Gomez-Rodriguez 1
Ji Liu 1
Sethuraman Panchanathan 1
Abdullah Mueen 1
Yizhou Sun 1
Xiaofei He 1
Muthuramakrishnan Venkitasubramaniam 1
Victor Lee 1
Zhi Yang 1
Yafei Dai 1
Robert Kleinberg 1
Pierluigi Crescenzi 1
Zijun Yao 1
Weiming Hu 1
Maoying Qiao 1
Wei Bian 1
Ying Jin 1
Hiroshi Mamitsuka 1
Carlos Lorenzetti 1
Thomas Reichherzer 1
Dan Roth 1
Ephraim Korach 1
Jeffrey Ullman 1
Kai Zheng 1
Wenyuan Zhu 1
Zhongyuan Wang 1
Allon Percus 1
Xunhua Guo 1
Sitaram Asur 1
Jerry Kiernan 1
Kevin Yip 1
Wei Zheng 1
Zhenxing Wang 1
Ravi Konuru 1
Baoxing Huai 1
Hengshu Zhu 1
Pritam Gundecha 1
Lei Chen 1
Edward Wild 1
Murat Kantarcıoğlu 1
John Guttag 1
Marc Plantevit 1
Fan Guo 1
Jinlin Chen 1
Alin Dobra 1
Binay Bhattacharya 1
Shantanu Godbole 1
Zoran Obradović 1
Wangchien Lee 1
Sri Ravana 1
Alex Beutel 1
Bin Zhou 1
Shiqiang Yang 1
Yicheng Tu 1
Anushka Anand 1
Dan Simovici 1
Hao Wang 1
Siddharth Gopal 1
Madhav Jha 1
Alice Leung 1
Renato Assunção 1
Subhabrata Sen 1
Rosa Meo 1
Pauli Miettinen 1
Eduardo Hruschka 1
Hongliang Fei 1
Jun Huan 1
Dino Ienco 1
Carlos Garcia-Alvarado 1
Ana Appel 1
Jeffreyxu Yu 1
Yashu Liu 1
Waynexin Zhao 1
Zhen Guo 1
Faming Lu 1
Andrew Mehler 1
Stephen North 1
Seungil Huh 1
Chojui Hsieh 1
Chihjen Lin 1
Zheng Wang 1
Thanawin Rakthanmanon 1
Jesin Zakaria 1
Kedar Bellare 1
Brandon Norick 1
Ming Ji 1
Yuval Elovici 1
Ming Lin 1
Changshui Zhang 1
Qinli Yang 1
Josif Grabocka 1
Nicolas Schilling 1
Xiang Li 1
David Aha 1
Richard Xu 1
Sougata Mukherjea 1
Ashwin Ram 1
Jing Peng 1
Yang Zhou 1
Zhanpeng Fang 1
Xinjiang Lu 1
Sriram Srinivasan 1
Niloy Ganguly 1
Animesh Mukherjee 1
Sanjukta Bhowmick 1
Lingjyh Chen 1
Linhong Zhu 1
Makoto Yamada 1
Guoqing Chen 1
Dengyong Zhou 1
Ming Zhang 1
Biru Dai 1
Divesh Srivastava 1
Hungleng Chen 1
Zhenjie Zhang 1
Liang Hong 1
Hunghsuan Chen 1
Venu Satuluri 1
Rose Yu 1
Yao Zhang 1
Aisling Kelliher 1
Paul Castro 1
Lian Duan 1
Bruno Ribeiro 1
Siyuan Liu 1
Anon Plangprasopchok 1
Shengrui Wang 1
Patrick Hung 1
Ganesh Ramesh 1
A Patterson 1
Manolis Kellis 1
Sanmay Das 1
Carlos Castillo 1
Tianbing Xu 1
Amit Dhurandhar 1
Fedja Hadzic 1
Elizabeth Chang 1
Aminul Islam 1
Feiyu Xiong 1
Beechung Chen 1
Fei Wang 1
Shiqiang Tao 1
Guoqiang Zhang 1
Li Wan 1
Weekeong Ng 1
Sethuraman Panchanathan 1
Michael Mampaey 1
Yu Lei 1
Haojun Zhang 1
Limsoon Wong 1
Maria Sapino 1
Shipeng Yu 1
Zhiting Hu 1
Pedro Melo 1
Yuan Jiang 1
Matteo Riondato 1
Qinbao Song 1
Michele Coscia 1
Yi Wang 1
Charles Elkan 1
Jaideep Srivastava 1
João Gama 1
Carlos Guestrin 1
Tomoharu Iwata 1
Naonori Ueda 1
Qi Lou 1
Wei Fan 1
Xifeng Yan 1
Julian McAuley 1
Bertil Schmidt 1
Yi Yang 1
Quanzeng You 1
Tao Mei 1
Kosuke Hashimoto 1
Nobuhisa Ueda 1
Haiqin Yang 1
Aparna Varde 1
Jie Tang 1
Ricardo Campello 1
Qiang Qu 1
Shuhui Wang 1
Bin Liu 1
Antonio Ortega 1
Pedro Vaz De Melo 1
Jeffrey Chan 1
Michael Houle 1
Dimitrios Gunopulos 1
Daxin Jiang 1
Muna Al-Razgan 1
Lei Zhang 1
Mohsen Bayati 1
Peilin Zhao 1
Raymond Wong 1
Ada Fu 1
Li Zheng 1
Noman Mohammed 1
Jaideep Vaidya 1
Chao Liu 1
Collin Stultz 1
Boleslaw Szymanski 1
Maguelonne Teisseire 1
Lini Thomas 1
Paolo Boldi 1
Sachindra Joshi 1
Tharam Dillon 1
Leonid Hrebien 1
Pei Yang 1
Li Li 1
Denian Yang 1
Zhishan Guo 1
Yunsing Koh 1
Silei Xu 1
Yixin Chen 1
Xuanhong Dang 1
Shumo Chu 1
Bo Liu 1
Luigi Pontieri 1
Bingrong Lin 1
Francesco Bonchi 1
Kasim Candan 1
Sunil Vadera 1
S Upham 1
Hongzhi Yin 1
Thomas Porta 1
Jeffrey Erman 1
Ming Li 1
Dora Erdős 1
Joydeep Ghosh 1
Kaiyuan Zhang 1
Carlos Ordonez 1
Fosca Giannotti 1
James Cheng 1
U Kang 1
Peter Christen 1
Daniel Dunlavy 1
Christos Doulkeridis 1
David Dominguez-Sal 1
Steven Skiena 1
Hiroshi Motoda 1
Chris Volinsky 1
Danai Koutra 1
Andreas Krause 1
Hsiangfu Yu 1
Binbin Lin 1
Johannes Gehrke 1
Christo Wilson 1
Ben Zhao 1
Aditya Parameswaran 1
Hoangvu Dang 1
Fen Xia 1
Linlin Zong 1
Yijuan Lu 1
Feng Liu 1
Yufeng Wang 1
Ernest Garcia 1
Shamkant Navathe 1
Wei Fan 1
Rezwan Ahmed 1
Wei Wei 1
Ana Maguitman 1
Foto Afrati 1
Rómer Rosales 1
Xiaofang Zhou 1
Xindong Wu 1
Fangtao Li 1
Junjie Wu 1
Duygu Ucar 1
Mustafa Bilgic 1
Ben Kao 1
David Cheung 1
Cheng Zeng 1
Atreya Srivathsan 1
Tong Sun 1
Songhua Xu 1
Yanchi Liu 1
Kun Liu 1
Duo Zhang 1
Raymond Ng 1
Piotr Indyk 1
Dmitry Pavlov 1
Christopher Carothers 1
Anne Laurent 1
Satyanarayana Valluri 1
Ashish Verma 1
Rong Ge 1
Byronju Gao 1
Jérémy Besson 1
Raghu Ramakrishnan 1
Yubao Wu 1
Maryam Tahani 1
Hamid Rabiee 1
Li Tu 1
Saharon Rosset 1
Claudia Perlich 1
Ying Wei 1
Tuannhon Dang 1
Seekiong Ng 1
Hong Xie 1
Ramana Kompella 1
Chengkai Li 1
Vasileios Kandylas 1
Salvatore Ruggieri 1
Jing Zhang 1
Rodrigo Alves 1
Juhua Hu 1
Filippo Menczer 1
Veerabhadran Baladandayuthapani 1
Giulio Rossetti 1
Timothy De Vries 1
Xiaoming Li 1
Josep Brunat 1
Eric Xing 1
Albert Bifet 1
Padhraic Smyth 1
Claudia Plant 1
Jiayu Pan 1
Jiang Bian 1
Brandon Westover 1
Eamonn Keogh 1
Ron Eyal 1
Avi Rosenfeld 1
Asaf Shabtai 1
Shifeng Weng 1
Junming Shao 1
Yllka Velaj 1
Xiaojun Chang 1
Lars Schmidt-Thieme 1
Michael Lyu 1
George Karypis 1
Dityan Yeung 1
Evangelos Papalexakis 1
Nicholas Sidiropoulos 1
Jilei Tian 1
Davoud Moulavi 1
Jun Yan 1
James Bezdek 1
Marimuthu Palaniswami 1
Jayavardhana Gubbi 1
Koji Hino 1
Masaru Kitsuregawa 1
Xiang Zhang 1
Jenwei Huang 1
James Bailey 1
Jianping Zhang 1
Manas Somaiya 1
Graham Cormode 1
Fernando Kuipers 1
Dick Epema 1
Linpeng Tang 1
Min Wang 1
Bin Li 1
Marc Maier 1
Yu Jin 1
William Street 1
Lionel Ni 1
Mohamed Bouguessa 1
Mingxi Wu 1
Benjamin Fung 1
Ye Chen 1
John Canny 1
Dominique Laurent 1
Yeowwei Choong 1
Ying Cui 1
Keli Xiao 1
Luca Becchetti 1
Meghana Deodhar 1
Bo Long 1
Hans Kriegel 1
Ling Feng 1
Diana Inkpen 1
Haoda Fu 1
Gunjan Gupta 1
Hongxia Yang 1
Dawei Zhou 1
Jingrui He 1
Liming Chen 1
Maryam Ramezani 1
Michalis Faloutsos 1
Shebuti Rayana 1
Wei Wang 1
Kuan Zhang 1
Vetle Torvik 1
Luigi Moccia 1
Edoardo Serra 1
Claudio Schifanella 1
Nesreen Ahmed 1
Min Wang 1
Shuiwang Ji 1
Ali Pınar 1
Ling Chen 1
Yang Liu 1
Chunxiao Xing 1
Dechuan Zhan 1
Michail Vlachos 1
Saurabh Paul 1
Jose Hern´ndez-Orallo 1
Rainer Gemulla 1
Eli Upfal 1
Xueying Zhang 1
Ruggero Pensa 1
Guangtao Wang 1
Yiping Ke 1
Evrim Acar 1
Yang Zhou 1
Ben London 1
Charu Aggarwal 1
Joseph Ruiz Md 1
Alexander Ihler 1
Masahiro Kimura 1
Neil Shah 1
Kaiwei Chang 1
Forrest Briggs 1
Gustavo Batista 1
Qiang Zhu 1
Philip Yu 1
Jure Leskovec 1
Jon Kleinberg 1
Maya Bercovitch 1
Stefan Kramer 1
Huaimin Wang 1
Qiang You 1
Luke McDowell 1
Miao Tian 1
Naren Ramakrishnan 1
Qi Tian 1
Jennifer Neary 1
Minoru Kanehisa 1
Irwin King 1
Ling Liu 1
Huilei He 1
Hua Wang 1
Shantanu Sharma 1
Yuanli Pei 1
Teresa Tjahja 1
Wenchih Peng 1
Sutharshan Rajasegarar 1
Jeffrey Chan 1
Zekai Gao 1
Laura Smith 1
Jin Zhang 1
Fei Zou 1
Virgílio Almeida 1
Christos Faloutsos 1
Nitin Agarwal 1
Laiwan Chan 1
S Muthukrishnan 1
Kunta Chuang 1
Anthony Tung 1
Adelelu Jia 1
Aniket Chakrabarti 1
Reza Zafarani 1
Saurabh Kataria 1
Amin Saberi 1
Matthew Rattigan 1
Geoffrey Barbier 1
Limin Yao 1
Cheukkwong Lee 1
Olvi Mangasarian 1
Chris Clifton 1
Mohammed Zaki 1
Jennifer Dy 1
Shaojun Wang 1
Henry Tan 1
Yanjun Qi 1
Loïc Cerf 1
Theodoros Lappas 1
Munmun De Choudhury 1
Wenjie Li 1
Chen Chen 1
Tina Eliassi-Rad 1
Yada Zhu 1
Leman Akoglu 1
Gianluigi Greco 1
Francesco Gullo 1
Guimei Liu 1
Min Ding 1
Jennifer Neville 1
Gensheng Zhang 1
Yiming Yang 1
Vassilios Vassiliadis 1
Ayan Acharya 1
Sreangsu Acharyya 1
Kaiming Ting 1
Christophe Giraud-Carrier 1
Arnold Boedihardjo 1
Changtien Lu 1
Zhiqiang Xu 1
Matthew Rowe 1
Edward Chang 1
Aditya Menon 1
Zhongfei Zhang 1
Chengxiang Zhai 1
Dong Xin 1
Christian Böhm 1
Kazumi Saito 1
Alexandru Iosup 1
Dafna Shahaf 1
Stephen Fienberg 1
Raviv Raich 1
Bilson Campana 1
Deng Cai 1
Sigal Sina 1
Sarit Kraus 1
Lior Rokach 1
Xiaolin Wang 1
Tingting Gao 1
Vibhor Rastogi 1
Chris Ding 1
Dityan Yeung 1
Longjie Li 1
Bruno Abrahão 1
Lorenzo Severini 1
Ou Wu 1
Lei Ma 1
Xing Yong 1
T Murali 1
Kiyoko Aoki-Kinoshita 1
Ravi Janardan 1
Sudhir Kumar 1
Guna Seetharaman 1
Giacomo Berardi 1
Tiancheng Lou 1
Xiaotong Zhang 1
Han Liu 1
Kathleen Carley 1
Ming Zhang 1
Shlomi Dolev 1
Fang Wang 1
Haixun Wang 1
Zhirui Hu 1
Dheeraj Kumar 1
Yao Wu 1
Dandan Qiao 1
Xiaodan Song 1
Yasuhiro Fujiwara 1
Wei Wang 1
ChienWei Chen 1
Weiyin Loh 1
John Salerno 1
Nitin Kumar 1
Flip Korn 1
Siqi Shen 1
Xinran He 1
Lei Li 1
Ying Wang 1
Ke Wang 1
Chris Ding 1
Jing Zhang 1
Benoît Dumoulin 1
John Gums 1
Xiuyao Song 1
Yin Zhang 1
Zhongfei Zhang 1
Beilun Wang 1
Yunxin Zhao 1
Jude Shavlik 1
Chihya Shen 1
Zhitao Wang 1
Wei Cheng 1
Jingrui He 1
Ali Hemmatyar 1
Meng Jiang 1
Peng Cui 1
Qian Sun 1
Yi Zhen 1
Sibel Adalı 1
Xiaohui Lu 1
Domenico Saccà 1
Francesco Lupia 1
Nima Mirbakhsh 1
Antti Ukkonen 1
Xindong Wu 1
Zheng Wang 1
Bin Cui 1
Juanzi Li 1
Johannes Schneider 1
Patrick Haffner 1
Zhili Zhang 1
Qingyan Yang 1
Christos Boutsidis 1
Scott Burton 1
Bingsheng Wang 1
Hui Ke 1
Tamara Kolda 1
Jie Wang 1
Galileo Namata 1
Yulan He 1
Karthik Subbian 1
João Duarte 1
John Frenzel MD 1
Qiaozhu Mei 1
Takeshi Yamada 1
Hua Duan 1
Yandong Liu 1
Joshua Vogelstein 1
Suresh Iyengar 1
Jiawei Han 1
Ashwin Machanavajjhala 1
Wei Fan 1
Erheng Zhong 1
Gianlorenzo D'Angelo 1

Affiliation Paper Counts
Ryukoku University 1
California State University Fullerton 1
Institut National de Recherche en Sciences et Technologies pour l'environnement et l'agriculture 1
University of Michigan 1
Anhui University 1
University of Ontario Institute of Technology 1
Universite de Cergy-Pontoise 1
Ethniko Metsovio Polytechnico 1
Princeton University 1
Claremont Graduate University 1
Queens College, City University of New York 1
Iowa State University 1
University of Arkansas - Fayetteville 1
Yale University 1
University of Auckland 1
University of Missouri-Columbia 1
John F. Kennedy School of Government 1
The University of North Carolina at Charlotte 1
University of South Florida Tampa 1
Valley Laboratory 1
University of Salford 1
Hong Kong Polytechnic University 1
Australian National University 1
University of Texas at Dallas 1
University of Vermont 1
Harvard University 1
University of Arizona 1
Nanjing University of Science and Technology 1
Washington University in St. Louis 1
Soochow University 1
Hewlett Packard Laboratories 1
Universidad Politecnica de Valencia 1
BBN Technologies 1
Air Force Research Laboratory Information Directorate 1
University of Shizuoka 1
National Chiao Tung University Taiwan 1
MITRE Corporation 1
Norges Teknisk-Naturvitenskapelige Universitet 1
Indian Institute of Science 1
Zhejiang Wanli University 1
Aston University 1
Colorado School of Mines 1
University of Louisiana at Lafayette 1
John Carroll University 1
Radboud University Nijmegen 1
Brigham and Women's Hospital 1
University of Toronto 1
De Montfort University 1
Wright State University 1
Singapore Management University 1
Air Force Research Laboratory 1
University of West Florida 1
International Business Machines 1
Universite Montpellier 2 Sciences et Techniques 1
Nanjing University of Aeronautics and Astronautics 1
Universita degli Studi di Firenze 1
University of Connecticut 1
Hong Kong Red Cross Blood Transfusion Service 1
Nokia USA 1
Universite Claude Bernard Lyon 1 1
Lancaster University 1
Osaka University 1
University of Iowa 1
National University of Defense Technology 1
Missouri University of Science and Technology 1
UC Berkeley 1
Shanghai Jiaotong University 1
Wright-Patterson AFB 1
Eli Lilly and Company 1
Eidgenossische Technische Hochschule Zurich 1
Lawrence Livermore National Laboratory 1
University of Rochester 1
Naval Research Laboratory 1
Stevens Institute of Technology 1
Jerusalem College of Technology 1
University of California, Los Angeles 1
National Taiwan University of Science and Technology 1
Oracle Corporation 1
Lanzhou University 1
Northeastern University 1
Research Organization of Information and Systems National Institute of Informatics 1
University of Malaya 1
Universita degli Studi di Milano 1
Temple University 1
Syracuse University 1
Curtin University of Technology, Perth 1
US Naval Academy 1
Universita degli Studi di Roma La Sapienza 1
University of New Mexico 1
Universitat des Saarlandes 1
Institute of Mathematics and Informatics Lithuanian 1
Amazon.com, Inc. 1
Harvard School of Engineering and Applied Sciences 1
Ariel University Center of Samaria 1
Siemens USA 1
Innopolis University 1
Max Planck Institut fur Informatik 2
Hefei University of Technology 2
Zhejiang University 2
Institute of High Performance Computing, Singapore 2
Johns Hopkins University 2
University of Electronic Science and Technology of China 2
Tel Aviv University 2
University of Minnesota System 2
University of Houston 2
The University of Hong Kong 2
Brigham Young University 2
Brown University 2
Montclair State University 2
Universidad Nacional del Sur 2
Hong Kong Baptist University 2
UC Davis 2
Drexel University 2
University of Kansas Lawrence 2
University of Nebraska at Omaha 2
Universite du Quebec en Outaouais 2
Instituto de Engenharia de Sistemas e Computadores Porto 2
Indiana University 2
University of Virginia 2
Industrial Technology Research Institute of Taiwan 2
University of Tokyo 2
University Michigan Ann Arbor 2
Nokia 2
University of Ottawa, Canada 2
University of Athens 2
IBM Zurich Research Laboratory 2
Kent State University 2
University of California, San Diego 2
University of Queensland 2
Istituto di Scienza e Tecnologie dell'Informazione A. Faedo 2
Microsoft Research Asia 2
Qatar Computing Research institute 2
International Institute of Information Technology Hyderabad 3
Shandong University of Science and Technology 3
Bar-Ilan University 3
Universitat Hildesheim 3
Indian Institute of Technology, Kharagpur 3
University of Pennsylvania 3
UC Irvine 3
Universidade de Sao Paulo 3
The University of British Columbia 3
Beihang University 3
University of Texas M. D. Anderson Cancer Center 3
University of Southern California, Information Sciences Institute 3
University of Kentucky 3
INSA Lyon 3
Academia Sinica Taiwan 3
George Mason University 3
Institute of Automation Chinese Academy of Sciences 3
Xerox Corporation 3
Chinese Academy of Sciences 3
Binghamton University State University of New York 3
Consiglio Nazionale delle Ricerche 3
University of Massachusetts Boston 3
University of Sydney 3
Microsoft 3
University of California, Santa Barbara 3
Wuhan University 3
University of Alberta 3
Johannes Gutenberg Universitat Mainz 3
Emory University 4
Institute for Infocomm Research, A-Star, Singapore 4
Google Inc. 4
Brookhaven National Laboratory 4
Universitat Politecnica de Catalunya 4
The University of Western Ontario 4
IBM Research 4
Universiteit Antwerpen 4
National University of Singapore 4
Ikonomikon Panepistimion Athinon 4
Monash University 4
Boston University 4
Massachusetts Institute of Technology 4
Sharif University of Technology 4
Universita di Pisa 4
Rutgers, The State University of New Jersey 4
Yahoo Research Barcelona 4
Aalto University 4
Case Western Reserve University 5
University of Texas at San Antonio 5
Ohio State University 5
Dalian University of Technology 5
Rice University 5
Purdue University 5
Universita degli Studi di Torino 5
Renmin University of China 5
Sandia National Laboratories 5
New Jersey Institute of Technology 5
The University of North Carolina at Chapel Hill 5
University of Southern California 5
Rutgers University-Newark Campus 6
Pennsylvania State University 6
Delft University of Technology 6
AT&T Laboratories Florham Park 6
Kyoto University 6
University of Massachusetts Amherst 6
Nippon Telegraph and Telephone Corporation 6
Ludwig-Maximilians-Universitat Munchen 6
University of Minnesota Twin Cities 6
Yahoo Inc. 6
University of Florida 7
University of Science and Technology of China 7
University of Maryland 7
Microsoft Research 7
Ben-Gurion University of the Negev 7
University of California, Riverside 7
Universidade Federal de Minas Gerais 7
University of Wisconsin Madison 7
Nanyang Technological University 8
University of Texas at Austin 8
Oregon State University 8
Xi'an Jiaotong University 8
Georgia Institute of Technology 8
Stony Brook University 8
Virginia Polytechnic Institute and State University 8
Nanjing University 8
Stanford University 9
Peking University 9
Florida International University 9
IBM Thomas J. Watson Research Center 9
Yahoo Research Labs 9
National Taiwan University 10
University of Melbourne 10
University of Illinois at Chicago 10
Hong Kong University of Science and Technology 11
Rensselaer Polytechnic Institute 11
Northwestern Polytechnical University 12
Cornell University 12
Universita della Calabria 12
University of Technology Sydney 12
University of Texas at Arlington 15
NEC Laboratories America, Inc. 15
Universite Simon Fraser 16
University of Illinois at Urbana-Champaign 18
Chinese University of Hong Kong 19
Tsinghua University 25
Carnegie Mellon University 32
Arizona State University 45

ACM Transactions on Knowledge Discovery from Data (TKDD)
Archive


2016
Volume 11 Issue 2, December 2016
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Volume 10 Issue 4, July 2016 Special Issue on SIGKDD 2014, Special Issue on BIGCHAT and Regular Papers
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2015
Volume 10 Issue 2, October 2015
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Volume 9 Issue 4, June 2015
Volume 9 Issue 3, April 2015 TKDD Special Issue (SIGKDD'13)

2014
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Volume 8 Issue 4, October 2014
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Volume 8 Issue 1, February 2014 Casin special issue

2013
Volume 7 Issue 4, November 2013
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Volume 7 Issue 1, March 2013

2012
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Volume 6 Issue 3, October 2012
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Volume 6 Issue 1, March 2012
Volume 5 Issue 4, February 2012

2011
Volume 5 Issue 3, August 2011
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2010
Volume 5 Issue 1, December 2010
Volume 4 Issue 4, October 2010
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Volume 4 Issue 2, May 2010
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2009
Volume 3 Issue 4, November 2009
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Volume 3 Issue 1, March 2009
Volume 2 Issue 4, January 2009

2008
Volume 2 Issue 3, October 2008
Volume 2 Issue 2, July 2008
Volume 2 Issue 1, March 2008
Volume 1 Issue 4, January 2008

2007
Volume 1 Issue 3, December 2007
Volume 1 Issue 2, August 2007
Volume 1 Issue 1, March 2007
 
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