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Product Selection Problem

It is often crucial for manufacturers to decide what products to produce so that they can increase their market share in an increasingly fierce market. To decide which products to produce, manufacturers need to analyze the consumers’ requirements and how consumers make their purchase decisions so that the new products will be competitive in... (more)

Catching Synchronized Behaviors in Large Networks

Given a directed graph of millions of nodes, how can we automatically spot anomalous, suspicious nodes judging only from their connectivity patterns?... (more)

Heterogeneous Translated Hashing

Multi-modal similarity search has attracted considerable attention to meet the need of information retrieval across different types of media. To enable efficient multi-modal similarity search in large-scale databases recently, researchers start to study multi-modal hashing. Most of the existing methods are applied to search across multi-views among... (more)

Guest Editorial

Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data

With the advancement of genome-wide monitoring technologies, molecular expression data have become... (more)

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics

Multiple types of heterogeneity including label heterogeneity and feature heterogeneity often co-exist in many real-world data mining applications,... (more)

Mining Dual Networks

Finding the densest subgraph in a single graph is a fundamental problem that has been extensively studied. In many emerging applications, there exist dual networks. For example, in genetics, it is important to use protein interactions to interpret genetic interactions. In this application, one network represents physical interactions among nodes,... (more)

Biomedical Ontology Quality Assurance Using a Big Data Approach

This article presents recent progresses made in using scalable cloud computing environment, Hadoop and MapReduce, to perform ontology quality... (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
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 content, with nodes having distinguishing features or attributes. In order to discover a network's modular structure, it is necessary to take into account not only its links but also node attributes. We describe an information-theoretic method that identifies modules by compressing descriptions of information flow on a network. Our formulation introduces node content into the description of information flow, which we then minimize to discover groups of nodes with similar attributes that also tend to trap the flow of information. The method has several advantages: it is conceptually simple and does not require ad-hoc parameters to specify the number of modules or to control the relative contribution of links and node attributes to network structure. We apply the proposed method to partition real-world networks with known community structure. We demonstrate that adding node attributes helps recover the underlying community structure in content-rich networks more effectively than using links alone. In addition, we show that our method is faster and more accurate than alternative state-of-the-art algorithms.

Scalable and Accurate Online Feature Selection for Big Data

Feature selection is important in many big data applications. There are at least two critical challenges. Firstly, in many applications, the dimensionality is extremely high, in millions, and keeps growing. Secondly, feature selection has to be highly scalable, preferably in an online manner such that each feature can be processed in a sequential scan. In this paper, we develop SAOLA, a Scalable and Accurate OnLine Approach for feature selection. With a theoretical analysis on bounds of the pairwise correlations between features, SAOLA employs novel online pairwise comparison techniques to address the two challenges and maintain a parsimonious model over time in an online manner. Furthermore, to tackle the dimensionality that arrives by groups, we extend our SAOLA algorithm, and then propose a novel group-SAOLA algorithm for online group feature selection. The group-SAOLA algorithm can online maintain a set of feature groups that is sparse at the level of both groups and individual features simultaneously. An empirical study using a series of benchmark real data sets shows that our two algorithms, SAOLA and group-SAOLA, are scalable on data sets of extremely high dimensionality, and have superior performance over the state-of-the-art feature selection methods.

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 paper, we go one step further to understand the query from the view of head-modifier analysis. For example, given the query popular iphone 5 smart cover, instead of using coarse-grained semantic classes (e.g., find electronic product), we interpret that smart cover is the head or the intent of the query and iphone 5 is its modifier. Query head-modifier detection can help search engines to obtain particularly relevant content, which is also important for applications such as ads matching and query recommendation. We introduce an unsupervised semantic approach for query head-modifier detection. First, we mine a large number of instance level head-modifier pairs from search log. Then, we develop a conceptualization mechanism to generalize the instance level pairs to concept level. Finally, we derive weighted concept patterns that are concise, accurate, and have strong generalization power in head-modifier detection. The developed mechanism has been used in production for search relevance and ads matching. We use extensive experiment results to demonstrate the effectiveness of our approach.

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 hiring domain experts. We consider the framework to use the world knowledge as indirect supervision. World knowledge is general-purpose knowledge, which is not designed for any specific domain. Then the key challenges are how to adapt the world knowledge to domains and how to represent it for learning. In this paper, we provide an example of using world knowledge for domain dependent document clustering. We provide three ways to specify the world knowledge to domains by resolving the ambiguity of the entities and their types, and represent the data with world knowledge as a heterogeneous information network. Then we propose a clustering algorithm that can cluster multiple types and incorporate the sub-type information as constraints. In the experiments, we use two existing knowledge bases as our sources of world knowledge. One is Freebase, which is collaboratively collected knowledge about entities and their organizations. The other is YAGO2, a knowledge base automatically extracted from Wikipedia and maps knowledge to the linguistic knowledge base, WordNet. Experimental results on two text benchmark datasets (20newsgroups and RCV1) show that incorporating world knowledge as indirect supervision can significantly outperform the state-of-the-art clustering algorithms as well as clustering algorithms enhanced with world knowledge features.

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 a reducer that receives all the inputs that participate in the computation of this output. Reducers have a capacity, which limits the sets of inputs that they can be assigned. However, individual inputs may vary in terms of size. We consider, for the first time, mapping schemas where input sizes are part of the considerations and restrictions. One of the significant parameters to optimize in any MapReduce job is communication cost between the map and reduce phases. The communication cost can be optimized by minimizing the number of copies of inputs sent to the reducers. The communication cost is closely related to the number of reducers of constrained capacity that are used to accommodate appropriately the inputs, so that the requirement of how the inputs must meet in a reducer is satisfied. In this work, we consider a family of problems where it is required that each input meets with each other input in at least one reducer. We also consider a slightly different family of problems in which, each input of a set, $X$, is required to meet each input of another set, $Y$, in at least one reducer. We prove that finding an optimal mapping schema for these families of problems is NP-hard, and present a bin-packing-based approximation algorithm for finding a near optimal mapping schema.

Solving Inverse Frequent Itemset Mining with Infrequency Constraints via Large-Scale Linear Programs

Efficient Discovery of Association Rules and Frequent Itemsets through Sampling with Tight Performance Guarantees.

Structural Analysis of User Choices for Mobile App Recommendation

Advances in smartphone technology have promoted the rapid development of mobile apps. However, a huge number of mobile apps available in application stores has imposed the challenge of finding the right apps to meet the user needs. Indeed, there is a critical demand for personalized app recommendations. Along this line, there are opportunities and challenges posed by two unique characteristics of mobile apps. First, app markets have organized apps in a hierarchical taxonomy. Second, apps with similar functionalities are competing with each other. While there are a variety of approaches for mobile app recommendations, these approaches do not have a focus on dealing with these opportunities and challenges. To this end, in this paper, we provide a systematic study for addressing these challenges. Specifically, we develop a structural user choice model (SUCM) to learn fine-grained user preferences by exploiting the hierarchical taxonomy of apps as well as the competitive relationships among apps. As a result, the SUCM model can provide fine-level personalized app recommendations. Moreover, we design an efficient learning algorithm to estimate the parameters for the SUCM model. Finally, we perform extensive experiments on a large app adoption data set collected from Google Play. The results show that SUCM consistently outperforms state-of-the-art Top-N recommendation methods by a significant margin.

Parallel Field Ranking

Distributed Algorithms for Computing Very Large Thresholded Covariance Matrices

Batch Mode Active Sampling based on Marginal Probability Distribution Matching

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 constituent nodes belong equally to their associated community. As a result, to date, efforts have been primarily driven to identify communities as a whole, rather than understanding by how much an individual node belongs to its community. In this paper, we argue that the belongingness of nodes in a community is not uniform. We quantify the degree of belongingness of a vertex within a community by a new vertex-based metric called permanence. The central idea of permanence is based on the observation that the strength of membership of a vertex to a community depends upon two factors: (i) the distribution of the connectivity of the vertex to individual communities, and (ii) how tightly the vertex is connected internally. We present the formulation of permanence based on these two quantities. We demonstrate that compared to other existing metrics, the change in permanence is more commensurate to the level of perturbation in ground-truth communities. We discuss how permanence can help us understand and utilize the structure and evolution of communities in a network. We further show that permanence is an excellent metric for identifying communities. We show that the process of maximizing permanence (abbreviated as MaxPerm) produces meaningful communities that concur with the ground-truth community structure of the networks more accurately than eight other popular community detection algorithms. Finally, we provide mathematical proofs to demonstrate the correctness of finding communities by maximizing permanence. In particular, we show that the communities obtained by this method are (i) less affected by the changes in vertex-ordering, and (ii) more resilient to resolution limit, degeneracy of solutions and asymptotic growth of values.

Differentially-Private Multidimensional Data Publishing

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.

Bibliometrics

Publication Years 2007-2016
Publication Count 257
Citation Count 2033
Available for Download 257
Downloads (6 weeks) 3422
Downloads (12 Months) 29779
Downloads (cumulative) 173119
Average downloads per article 674
Average citations per article 8
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-Infosys Foundation Award in the Computing Sciences (2008)
Chih-Jen Lin ACM Distinguished Member (2011)
ACM Senior Member (2010)
Chang-Tien Lu ACM Distinguished Member (2015)
Tao Mei ACM Senior Member (2012)
Sethuraman Panchanathan ACM Senior Member (2009)
Jian Pei ACM Senior Member (2007)
Domenico Sacca ACM Senior Member (2007)
Qiang Yang ACM Distinguished Member (2011)
Ben Yanbin Zhao ACM Distinguished Member (2015)

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

Affiliation Paper Counts
Ryukoku University 1
National Research Institute of Science and Technology for Environment and Agriculture 1
University of Michigan 1
Anhui University 1
University of Ontario Institute of Technology 1
Universite de Cergy-Pontoise 1
Princeton University 1
Queens College, City University of New York 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
Nanjing University of Science and Technology 1
Washington University in St. Louis 1
HP Labs 1
Universidad Politecnica de Valencia 1
BBN Technologies 1
Air Force Research Laboratory Information Directorate 1
University of Shizuoka 1
MITRE Corporation 1
Norwegian University of Science and Technology 1
Indian Institute of Science 1
Zhejiang Wanli University 1
Aston University 1
Colorado School of Mines 1
University of Southern California, Information Sciences Institute 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
IBM 1
Universite Montpellier 2 Sciences et Techniques 1
Nanjing University of Aeronautics and Astronautics 1
University of Florence 1
University of Connecticut 1
Industrial Technology Research Institute of Taiwan 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 China 1
University of California, Berkeley 1
Shanghai Jiaotong University 1
Wright-Patterson AFB 1
Eli Lilly and Company 1
Swiss Federal Institute of Technology, 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
University of Milan 1
Temple University 1
Syracuse University 1
University of Queensland 1
Curtin University of Technology, Perth 1
US Naval Academy 1
University of Roma La Sapienza 1
University of New Mexico 1
Saarland University 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
Microsoft Research Asia 1
Innopolis University 1
Max Planck Institute for Informatics 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
Hong Kong Baptist University 2
Renmin University of China 2
University of California, Davis 2
Drexel University 2
University of Texas M. D. Anderson Cancer Center 2
University of Kansas Lawrence 2
Academia Sinica Taiwan 2
University of Quebec in Outaouais 2
Institute for Systems and Computer Engineering of Porto 2
University of Virginia 2
University of Massachusetts Boston 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
Istituto di Scienza e Tecnologie dell'Informazione A. Faedo 2
Qatar Computing Research institute 2
International Institute of Information Technology Hyderabad 3
Shandong University of Science and Technology 3
Bar-Ilan University 3
University of Hildesheim 3
Rice University 3
University of Pennsylvania 3
University of California, Irvine 3
University of Sao Paulo 3
The University of British Columbia 3
University of Kentucky 3
INSA Lyon 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
Italian National Research Council 3
University of Sydney 3
Microsoft 3
University of Melbourne 3
University of California, Santa Barbara 3
Wuhan University 3
University of Southern California 3
Rutgers, The State University of New Jersey 3
University of Alberta 3
Johannes Gutenberg University Mainz 3
Rutgers University-Newark Campus 4
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
University of Antwerp 4
National University of Singapore 4
Athens University of Economics and Business 4
Monash University 4
Boston University 4
Massachusetts Institute of Technology 4
Ben-Gurion University of the Negev 4
Sharif University of Technology 4
University of Pisa 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
Purdue University 5
Kyoto University 5
University of Turin 5
Oregon State University 5
Sandia National Laboratories 5
New Jersey Institute of Technology 5
The University of North Carolina at Chapel Hill 5
Pennsylvania State University 6
Delft University of Technology 6
AT&T Laboratories Florham Park 6
University of Massachusetts Amherst 6
Microsoft Research 6
Nippon Telegraph & Telephone 6
Ludwig Maximilian University of Munich 6
University of Minnesota Twin Cities 6
Yahoo Inc. 6
University of Florida 7
Peking University 7
University of Science and Technology of China 7
University of Maryland 7
University of California, Riverside 7
Federal University of Minas Gerais 7
University of Wisconsin Madison 7
Nanjing University 7
Nanyang Technological University 8
Stanford University 8
University of Texas at Austin 8
IBM Thomas J. Watson Research Center 8
Xi'an Jiaotong University 8
Georgia Institute of Technology 8
Stony Brook University 8
Virginia Tech 8
Yahoo Research Labs 8
Florida International University 9
National Taiwan University 10
Hong Kong University of Science and Technology 10
University of Illinois at Chicago 10
Rensselaer Polytechnic Institute 11
Northwestern Polytechnical University China 12
Cornell University 12
Simon Fraser University 12
University of Calabria 12
University of Technology Sydney 12
University of Texas at Arlington 15
NEC Laboratories America, Inc. 15
University of Illinois at Urbana-Champaign 16
Chinese University of Hong Kong 19
Tsinghua University 21
Carnegie Mellon University 32
Arizona State University 45

ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on SIGKDD 2014, Special Issue on BIGCHAT and Regular Papers Archive

2016

Volume 10 Issue 4, July 2016 Special Issue on SIGKDD 2014, Special Issue on BIGCHAT and Regular Papers
Volume 11 Issue 1, July 2016  Issue-in-Progress
Volume 10 Issue 3, February 2016

2015

Volume 10 Issue 2, October 2015
Volume 10 Issue 1, July 2015
Volume 9 Issue 4, June 2015
Volume 9 Issue 3, April 2015 TKDD Special Issue (SIGKDD'13)

2014

Volume 9 Issue 2, November 2014
Volume 9 Issue 1, October 2014
Volume 8 Issue 4, October 2014
Volume 8 Issue 3, June 2014
Volume 8 Issue 2, June 2014
Volume 8 Issue 1, February 2014 Casin special issue

2013

Volume 7 Issue 4, November 2013
Volume 7 Issue 3, September 2013 Special Issue on ACM SIGKDD 2012
Volume 7 Issue 2, July 2013
Volume 7 Issue 1, March 2013

2012

Volume 6 Issue 4, December 2012 Special Issue on the Best of SIGKDD 2011
Volume 6 Issue 3, October 2012
Volume 6 Issue 2, July 2012
Volume 6 Issue 1, March 2012
Volume 5 Issue 4, February 2012

2011

Volume 5 Issue 3, August 2011
Volume 5 Issue 2, February 2011

2010

Volume 5 Issue 1, December 2010
Volume 4 Issue 4, October 2010
Volume 4 Issue 3, October 2010
Volume 4 Issue 2, May 2010
Volume 4 Issue 1, January 2010

2009

Volume 3 Issue 4, November 2009
Volume 3 Issue 3, July 2009
Volume 3 Issue 2, April 2009
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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