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Shop-Type Recommendation Leveraging the Data from Social Media and Location-Based Services

It is an important yet challenging task for investors to determine the most suitable type of shop (e.g., restaurant, fashion) for a newly opened... (more)

Leveraging Neighbor Attributes for Classification in Sparsely Labeled Networks

Many analysis tasks involve linked nodes, such as people connected by friendship links. Research on link-based classification (LBC) has studied how to... (more)

Convex Sparse PCA for Unsupervised Feature Learning

Principal component analysis (PCA) has been widely applied to dimensionality reduction and data pre-processing for different applications in... (more)

Listwise Learning to Rank from Crowds

Learning to rank has received great attention in recent years as it plays a crucial role in many applications such as information retrieval and data mining. The existing concept of learning to rank assumes that each training instance is associated with a reliable label. However, in practice, this assumption does not necessarily hold true as it may... (more)

Scalable Clustering by Iterative Partitioning and Point Attractor Representation

Clustering very large datasets while preserving cluster quality remains a challenging data-mining task to date. In this paper, we propose an effective... (more)

Latent Time-Series Motifs

Motifs are the most repetitive/frequent patterns of a time-series. The discovery of motifs is crucial for practitioners in order to understand and interpret the phenomena occurring in sequential data. Currently, motifs are searched among series sub-sequences, aiming at selecting the most frequently occurring ones. Search-based methods, which try... (more)

Sampling for Nyström Extension-Based Spectral Clustering

Sampling is the key aspect for Nyström extension based spectral clustering. Traditional sampling schemes select the set of landmark points on a... (more)

Fast Sampling for Time-Varying Determinantal Point Processes

Determinantal Point Processes (DPPs) are stochastic models which assign each subset of a base dataset with a probability proportional to the... (more)

Greedily Improving Our Own Closeness Centrality in a Network

The closeness centrality is a well-known measure of importance of a vertex within a given complex network. Having high closeness centrality can have... (more)

The Convergence Behavior of Naive Bayes on Large Sparse Datasets

Large and sparse datasets with a lot of missing values are common in the big data era, such as user behaviors over a large number of items.... (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.

Heterogeneous Translated Hashing: A Scalable Solution towards Multi-modal Similarity Search

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 which explicit correspondence is provided. Given a multi-modal similarity search task, we observe that abundant multi-view data can be found on the Web which can serve as an auxiliary bridge. In this paper, we propose a Heterogeneous Translated Hashing (HTH) method with such auxiliary bridge incorporated not only to improve current multi-view search but also to enable similarity search across heterogeneous media which have no direct correspondence. HTH provides more flexible and discriminative ability by embedding heterogeneous media into different Hamming spaces, compared to almost all existing methods that map heterogeneous data in a common Hamming space. We formulate a joint optimization model to learn hash functions embedding heterogeneous media into different Hamming spaces, and a translator aligning different Hamming spaces. The extensive experiments on two real-world datasets, one publicly available dataset of Flickr and the other MIRFLICKR-Yahoo Answers dataset, highlight the effectiveness and efficiency of our algorithm.

Introduction to the Special Issue of best Papers in ACM SIGKDD 2014

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.

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.

Parallel Field Ranking

Distributed Algorithms for Computing Very Large Thresholded Covariance Matrices

Modeling of Geographical Dependencies for Real Estate Ranking

It is traditionally a challenge for home buyers to understand, compare and contrast the investment values of estates. While a number of estate appraisal methods have been developed to value real properties, the performances of these methods have been limited by the traditional data sources for estate appraisal. With the development of new ways of collecting estate-related mobile data, there is a potential to leverage geographic dependencies of estates for enhancing estate appraisal. Indeed, the geographic dependencies of the investment value of an estate can be from the characteristics of its own neighborhood (individual), the values of its nearby estates (peer), and the prosperity of the affiliated latent business area (zone). To this end, in this paper, we propose a geographic method, named ClusRanking, for estate appraisal by leveraging the mutual enforcement of ranking and clustering power. ClusRanking is able to exploit geographic individual, peer, and zone dependencies in a probabilistic ranking model. Specifically, we first extract the geographic utility of estates from geography data, estimate the neighborhood popularity of estates by mining taxicab trajectory data, and model the influence of latent business areas. Also, we fuse these three influential factors and predict real estate investment value. Moreover, we simultaneously consider individual, peer and zone dependencies, and derive an estate-specific ranking likelihood as the objective function. Furthermore, we propose an improved method named CR-ClusRanking by incorporating checkin information as a regularization term which reduces the performance volatility of estate ranking system. Finally, we conduct a comprehensive evaluation with the real estate related data of Beijing, and the experimental results demonstrate the effectiveness of our proposed methods.

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.

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Bibliometrics

Publication Years 2007-2016
Publication Count 255
Citation Count 1981
Available for Download 255
Downloads (6 weeks) 3316
Downloads (12 Months) 29531
Downloads (cumulative) 170549
Average downloads per article 669
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)
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
John Lui 4
Huan Liu 4
Aristides Gionis 4
John Hopcroft 3
Lise Getoor 3
Jure Leskovec 3
Hui Xiong 3
Malik Magdon-Ismail 3
Mingsyan Chen 3
Jilles Vreeken 3
Zhihua Zhou 3
Lei Tang 3
Heng Huang 3
Yun Chi 3
Yasushi Sakurai 3
Evimaria Terzi 3
Yihong Gong 3
Feiping Nie 3
Hong Cheng 3
Dingding Wang 3
Fabio Fassetti 3
Christopher Jermaine 3
Fabrizio Angiulli 3
Jilei Tian 2
Ping Luo 2
B Prakash 2
Andrea Esuli 2
Antonella Guzzo 2
Shinjae Yoo 2
Yuru Lin 2
Ian Davidson 2
Ruoming Jin 2
Guofei Jiang 2
Jiawei Han 2
Zhiwen Yu 2
Antônio Loureiro 2
Daniel Kifer 2
Hanghang Tong 2
Xiang Zhang 2
Laks Lakshmanan 2
Jimeng Sun 2
Rita Chattopadhyay 2
Don Towsley 2
Sucheta Soundarajan 2
Enhong CHEN 2
Qi Liu 2
Belle Tseng 2
Vivekanand Gopalkrishnan 2
Jie Tang 2
Xiaoli Fern 2
Eugene Agichtein 2
Charalampos Tsourakakis 2
Dantong Yu 2
Carlotta Domeniconi 2
Sanjay Ranka 2
Jiliang Tang 2
Srinivasan Parthasarathy 2
Bin Guo 2
Hari Sundaram 2
Spiros Papadimitriou 2
Joydeep Ghosh 2
Wei Fan 2
Dino Pedreschi 2
Hao Huang 2
Hong Qin 2
Yehuda Koren 2
Pinghui Wang 2
Heikki Mannila 2
Panayiotis Tsaparas 2
Jianhui Chen 2
Yu Zhang 2
Fabrizio Sebastiani 2
Arthur Zimek 2
Michalis Vazirgiannis 2
Jin Huang 2
Geoffrey Webb 2
Indrajit Bhattacharya 2
Panagis Magdalinos 2
Xiao Yu 2
Junzhou Zhao 2
Xiaohong Guan 2
George Karypis 1
Jilei Tian 1
Davoud Moulavi 1
Qiang Qu 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
Maya Bercovitch 1
Bin Li 1
Marc Maier 1
Mohamed Bouguessa 1
Benjamin Fung 1
Ye Chen 1
John Canny 1
Yeowwei Choong 1
Luca Becchetti 1
Ying Cui 1
Meghana Deodhar 1
Keli Xiao 1
Dominique Laurent 1
Bo Long 1
Hans Kriegel 1
Martin Ester 1
Gunjan Gupta 1
Ling Feng 1
Diana Inkpen 1
Kuan Zhang 1
Vetle Torvik 1
Luigi Moccia 1
Edoardo Serra 1
Hongxia Yang 1
Haoda Fu 1
Dawei Zhou 1
Jingrui He 1
Liming Chen 1
Maryam Ramezani 1
Shebuti Rayana 1
Wei Wang 1
Michalis Faloutsos 1
Nesreen Ahmed 1
Min Wang 1
Shuiwang Ji 1
Mingxi Wu 1
Ali Pınar 1
Michail Vlachos 1
Ling Chen 1
Yang Liu 1
Chunxiao Xing 1
Dechuan Zhan 1
Claudio Schifanella 1
Saurabh Paul 1
Jose Hern´ndez-Orallo 1
Rainer Gemulla 1
Eli Upfal 1
Guangtao Wang 1
Xueying Zhang 1
Yiping Ke 1
William Street 1
Lionel Ni 1
Evrim Acar 1
Yang Zhou 1
Charu Aggarwal 1
Ben London 1
Jirong Wen 1
Joseph Ruiz Md 1
Ruggero Pensa 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
Jure Leskovec 1
Jon Kleinberg 1
Naren Ramakrishnan 1
Qi Tian 1
Jennifer Neary 1
Minoru Kanehisa 1
Adelelu Jia 1
Alexandru Iosup 1
Aniket Chakrabarti 1
Reza Zafarani 1
Saurabh Kataria 1
Irwin King 1
Ling Liu 1
Huilei He 1
Hua Wang 1
Fei Zou 1
Virgílio Almeida 1
Christos Faloutsos 1
Laiwan Chan 1
Gianluigi Greco 1
Francesco Gullo 1
Guimei Liu 1
Nitin Agarwal 1
S Muthukrishnan 1
Kunta Chuang 1
Anthony Tung 1
Sigal Sina 1
Sarit Kraus 1
Chris Ding 1
Lior Rokach 1
Dityan Yeung 1
Amin Saberi 1
Matthew Rattigan 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
Yada Zhu 1
Leman Akoglu 1
Chen Chen 1
Tina Eliassi-Rad 1
Min Ding 1
Jennifer Neville 1
Gensheng Zhang 1
Yiming Yang 1
Vassilios Vassiliadis 1
Kaiming Ting 1
Christophe Giraud-Carrier 1
Ayan Acharya 1
Sreangsu Acharyya 1
Arnold Boedihardjo 1
Changtien Lu 1
Zhiqiang Xu 1
Geoffrey Barbier 1
Aditya Menon 1
Matthew Rowe 1
Edward Chang 1
Zhongfei Zhang 1
Bruno Abrahão 1
Xiaolin Wang 1
Tingting Gao 1
Kazumi Saito 1
ChengXiang Zhai 1
Dong Xin 1
Christian Böhm 1
Dafna Shahaf 1
Stephen Fienberg 1
Raviv Raich 1
Bilson Campana 1
Vibhor Rastogi 1
Deng Cai 1
Longjie Li 1
T Murali 1
Kiyoko Aoki-Kinoshita 1
Ravi Janardan 1
Sudhir Kumar 1
Siqi Shen 1
Xinran He 1
Lei Li 1
Tiancheng Lou 1
Guna Seetharaman 1
Giacomo Berardi 1
Zhu Wang 1
Xiaotong Zhang 1
Han Liu 1
Kathleen Carley 1
Xiaodan Song 1
Yasuhiro Fujiwara 1
Wei Wang 1
ChienWei Chen 1
Weiyin Loh 1
Francesco Lupia 1
Nima Mirbakhsh 1
Antti Ukkonen 1
Xindong Wu 1
John Salerno 1
Nitin Kumar 1
Flip Korn 1
Ying Wang 1
Ke Wang 1
Jing Zhang 1
Benoît Dumoulin 1
Saurav Sahay 1
Lei Zou 1
Luming Zhang 1
Jian Wang 1
Manos Papagelis 1
Ruud Van De Bovenkamp 1
Clyde Giles 1
Wei Peng 1
Xiaowen Ding 1
Jörg Sander 1
Siyuan Liu 1
Mengling Feng 1
Charles Ling 1
Maria Halkidi 1
David Gleich 1
Steven Hoi 1
David Jensen 1
Glenn Fung 1
Zeeshan Syed 1
Kamalakar Karlapalem 1
Dimitrios Mavroeidis 1
Dale Schuurmans 1
Peer Kröger 1
Céline Robardet 1
Jean Boulicaut 1
Pradeep Tamma 1
Xiuyao Song 1
John Gums 1
Yin Zhang 1
Zhongfei Zhang 1
Yunxin Zhao 1
Jude Shavlik 1
Qian Sun 1
Sibel Adalı 1
Xiaohui Lu 1
Domenico Saccà 1
Beilun Wang 1
Chihya Shen 1
Zhitao Wang 1
Jingrui He 1
Ali Hemmatyar 1
Wei Cheng 1
Meng Jiang 1
Peng Cui 1
Zheng Wang 1
Johannes Schneider 1
Bin Cui 1
Chengqi Zhang 1
Juanzi Li 1
Qingyan Yang 1
Patrick Haffner 1
Zhili Zhang 1
Scott Burton 1
Christos Boutsidis 1
Bingsheng Wang 1
Chris Ding 1
Hui Ke 1
Tamara Kolda 1
Jie Wang 1
Karthik Subbian 1
Galileo Namata 1
Yulan He 1
John Frenzel MD 1
Joshua Vogelstein 1
Hua Duan 1
Erheng Zhong 1
Wei Fan 1
Qiang Yang 1
Yandong Liu 1
Qiaozhu Mei 1
Takeshi Yamada 1
Suresh Iyengar 1
Jiawei Han 1
Ashwin Machanavajjhala 1
Zengjian Hu 1
Boaz Ben-Moshe 1
Neil Smalheiser 1
James Cheng 1
Shachar Kaufman 1
Ori Stitelman 1
Nikolaj Tatti 1
Leland Wilkinson 1
Hockhee Ang 1
Steven Hoi 1
Weekeong Ng 1
Moshe Kam 1
Jieping Ye 1
José Balcázar 1
Licong Cui 1
Xiaofeng Zhu 1
Xiao Jiang 1
Lyle Ungar 1
Franco Turini 1
Comandur Seshadhri 1
Luan Tang 1
Quanquan Gu 1
Xintao Wu 1
Feitony Liu 1
Chun Li 1
Jianyong Wang 1
Nick Duffield 1
Petros Drineas 1
Tengfei Bao 1
Brook Wu 1
Sanjay Chawla 1
Jinpeng Wang 1
Arnau Prat-Pérez 1
Josep Larriba-Pey 1
Risa Myers 1
Brian Gallagher 1
Qingtian Zeng 1
Victor Lee 1
Robert Kleinberg 1
Zhi Yang 1
Yafei Dai 1
John Hutchins 1
Taneli Mielikäinen 1
Ji Liu 1
Manuel Gomez-Rodriguez 1
Sethuraman Panchanathan 1
Abdullah Mueen 1
Yizhou Sun 1
Xiaofei He 1
Muthuramakrishnan Venkitasubramaniam 1
Ying Jin 1
Hiroshi Mamitsuka 1
Sitaram Asur 1
Jerry Kiernan 1
Kevin Yip 1
Wei Zheng 1
Zhenxing Wang 1
Dan Simovici 1
Hao Wang 1
Yuval Elovici 1
Ming Lin 1
Changshui Zhang 1
Ravi Konuru 1
Fan Guo 1
Edward Wild 1
Murat Kantarcıoğlu 1
John Guttag 1
Jinlin Chen 1
Shantanu Godbole 1
Marc Plantevit 1
Alin Dobra 1
Binay Bhattacharya 1
Bin Zhou 1
Anushka Anand 1
Yicheng Tu 1
Zoran Obradović 1
Wangchien Lee 1
Sri Ravana 1
Alex Beutel 1
Shiqiang Yang 1
Siddharth Gopal 1
Madhav Jha 1
Alice Leung 1
Renato Assunção 1
Subhabrata Sen 1
Pauli Miettinen 1
Eduardo Hruschka 1
Hongliang Fei 1
Jun Huan 1
Carlos Garcia-Alvarado 1
Baoxing Huai 1
Hengshu Zhu 1
Pritam Gundecha 1
Lei Chen 1
Ana Appel 1
Jeffreyxu Yu 1
Yashu Liu 1
Waynexin Zhao 1
Dino Ienco 1
Rosa Meo 1
Zhen Guo 1
Faming Lu 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
Jiawei Han 1
Ming Ji 1
Andrew Mehler 1
Sougata Mukherjea 1
Ashwin Ram 1
Liang Hong 1
Hunghsuan Chen 1
Venu Satuluri 1
Rose Yu 1
Yan Liu 1
Yao Zhang 1
Zhanpeng Fang 1
Jing Peng 1
Yang Zhou 1
Xinjiang Lu 1
Dengyong Zhou 1
Ming Zhang 1
Biru Dai 1
Haojun Zhang 1
Limsoon Wong 1
Divesh Srivastava 1
Hungleng Chen 1
Zhenjie Zhang 1
Aisling Kelliher 1
Paul Castro 1
Anon Plangprasopchok 1
Shengrui Wang 1
Patrick Hung 1
Ganesh Ramesh 1
A Patterson 1
Manolis Kellis 1
Carlos Castillo 1
Tianbing Xu 1
Sanmay Das 1
Amit Dhurandhar 1
Beechung Chen 1
Fedja Hadzic 1
Elizabeth Chang 1
Aminul Islam 1
Li Wan 1
Weekeong Ng 1
Sethuraman Panchanathan 1
Michael Mampaey 1
Yu Lei 1
Feiyu Xiong 1
Fei Wang 1
Guoqiang Zhang 1
Shiqiang Tao 1
Shipeng Yu 1
Zhiting Hu 1
Pedro Melo 1
Yuan Jiang 1
Maria Sapino 1
Matteo Riondato 1
Qinbao Song 1
Michele Coscia 1
Yi Wang 1
Lian Duan 1
Bruno Ribeiro 1
Siyuan Liu 1
Charles Elkan 1
Jaideep Srivastava 1
João Gama 1
Julian McAuley 1
Carlos Guestrin 1
Tomoharu Iwata 1
Naonori Ueda 1
Qi Lou 1
Wei Fan 1
Xifeng Yan 1
Kosuke Hashimoto 1
Nobuhisa Ueda 1
Lei Zhang 1
Jie Tang 1
Haiqin Yang 1
Aparna Varde 1
Ricardo Campello 1
Xianchao Zhang 1
Shuhui Wang 1
Pedro Vaz De Melo 1
Jeffrey Chan 1
Michael Houle 1
Luigi Pontieri 1
Bingrong Lin 1
Francesco Bonchi 1
Wei Ding 1
Dimitrios Gunopulos 1
Daxin Jiang 1
Muna Al-Razgan 1
Mohsen Bayati 1
Peilin Zhao 1
Raymond Wong 1
Ada Fu 1
Noman Mohammed 1
Chao Liu 1
Dacheng Tao 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
Yixin Chen 1
Xuanhong Dang 1
Shumo Chu 1
Leonid Hrebien 1
Pei Yang 1
Li Li 1
Denian Yang 1
Zhishan Guo 1
Yunsing Koh 1
Silei Xu 1
Yong Ge 1
Sunil Vadera 1
S Upham 1
Thomas Porta 1
Hongzhi Yin 1
Kasim Candan 1
Ming Li 1
Jeffrey Erman 1
Dora Erdős 1
Joydeep Ghosh 1
Kaiyuan Zhang 1
Carlos Ordonez 1
Fosca Giannotti 1
James Cheng 1
Li Zheng 1
U Kang 1
Peter Christen 1
Daniel Dunlavy 1
Christos Doulkeridis 1
Joao Duarte 1
David Dominguez-Sal 1
Danai Koutra 1
Christo Wilson 1
Ben Zhao 1
Hiroshi Motoda 1
Chris Volinsky 1
Andreas Krause 1
Hsiangfu Yu 1
Aditya Parameswaran 1
Binbin Lin 1
Johannes Gehrke 1
Steven Skiena 1
Yijuan Lu 1
Feng Liu 1
Yufeng Wang 1
Ernest Garcia 1
Shamkant Navathe 1
Cheng Zeng 1
Atreya Srivathsan 1
Tong Sun 1
Wei Fan 1
Rezwan Ahmed 1
Wei Wei 1
Duygu Ucar 1
Mustafa Bilgic 1
Ben Kao 1
David Cheung 1
Christopher Leckie 1
Seekiong Ng 1
Hong Xie 1
Kui Yu 1
Ron Eyal 1
Avi Rosenfeld 1
Asaf Shabtai 1
Shifeng Weng 1
Kun Liu 1
Duo Zhang 1
Dmitry Pavlov 1
Raymond Ng 1
Piotr Indyk 1
Christopher Carothers 1
Satyanarayana Valluri 1
Ashish Verma 1
Anne Laurent 1
Jérémy Besson 1
Raghu Ramakrishnan 1
Rong Ge 1
Byronju Gao 1
Li Tu 1
Saharon Rosset 1
Claudia Perlich 1
Tuannhon Dang 1
Yubao Wu 1
Maryam Tahani 1
Hamid Rabiee 1
Ramana Kompella 1
Chengkai Li 1
Vasileios Kandylas 1
Salvatore Ruggieri 1
Jing Zhang 1
Rodrigo Alves 1
Juhua Hu 1
Yu Jin 1
Veerabhadran Baladandayuthapani 1
Giulio Rossetti 1
Yanchi Liu 1
Songhua Xu 1
Timothy De Vries 1
Albert Bifet 1
Xiaoming Li 1
Josep Brunat 1
Eric Xing 1
Jiang Bian 1
Padhraic Smyth 1
Claudia Plant 1
Jiayu Pan 1
Brandon Westover 1
Eamonn Keogh 1
Fernando Kuipers 1
Dick Epema 1
Linpeng Tang 1
Min Wang 1
Michael Lyu 1
Dityan Yeung 1
Evangelos Papalexakis 1
Nicholas Sidiropoulos 1

Affiliation Paper Counts
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
University of Roma La Sapienza 1
University of New Mexico 1
University of the Saarland 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
Ryukoku University 1
Cemagref 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 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
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
Stevens Institute of Technology 1
Jerusalem College of Technology 1
University of California, Los Angeles 1
National Taiwan University of Science and Technology 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
Tel Aviv University 2
University of Minnesota System 2
University of Houston 2
The University of Hong Kong 2
Brigham Young University 2
The University of Western Ontario 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
Chinese Academy of Sciences 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
Dalian University of Technology 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
Xerox Corporation 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 University 3
University of Alberta 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
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
Purdue University 5
Kyoto University 5
University of Turin 5
Oregon State University 5
Sandia National Laboratories 5
Microsoft Research 5
New Jersey Institute of Technology 5
University of Technology Sydney 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
Nippon Telegraph & Telephone 6
Ludwig Maximilian University of Munich 6
University of Minnesota Twin Cities 6
Yahoo Inc. 6
Hong Kong University of Science and Technology 7
University of Florida 7
Peking University 7
University of Science and Technology of China 7
Georgia Institute of Technology 7
University of Maryland 7
University of California, Riverside 7
Federal University of Minas Gerais 7
University of Wisconsin Madison 7
Nanjing University 7
Northwestern Polytechnical University China 8
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
Stony Brook University 8
Virginia Tech 8
Yahoo Research Labs 8
Florida International University 9
National Taiwan University 10
University of Illinois at Chicago 10
Rensselaer Polytechnic Institute 11
Cornell University 12
Simon Fraser University 12
University of Calabria 12
University of Texas at Arlington 13
University of Illinois at Urbana-Champaign 15
NEC Laboratories America, Inc. 15
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) Archive

2016

Volume 11 Issue 1, July 2016  Issue-in-Progress
Volume 10 Issue 4, June 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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