[Front cover]

Title Page i (PDF)

pp. i

Title Page iii (PDF)

pp. iii

[Copyright notice] (PDF)

pp. iv

Table of contents (PDF)

pp. v-xv

Welcome Message from the Conference Chairs (PDF)

pp. xv-xvi

Message from the Program Committee Co-Chairs (PDF)

pp. xvii-xviii

Organizing Committee (PDF)

pp. xix-xxi

Program Committee (PDF)

pp. xxii-xxviii

Mining Billion-node Graphs: Patterns, Generators and Tools (Abstract)

Christos Faloutsos

pp. 5

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Assessing the Significance of Groups in High-Dimensional Data (Abstract)

Geoff McLachlan

pp. 6

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10 Years of Data Mining Research: Retrospect and Prospect (Abstract)

Xindong Wu

pp. 7

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Detecting Novel Discrepancies in Communication Networks (Abstract)

pp. 8-17

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Multi-agent Random Walks for Local Clustering on Graphs (Abstract)

Morteza Alamgir

Ulrike von Luxburg

pp. 18-27

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Spatiotemporal Event Detection in Mobility Network (Abstract)

pp. 28-37

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An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users (Abstract)

pp. 38-47

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Fast and Flexible Multivariate Time Series Subsequence Search (Abstract)

pp. 48-57

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iSAX 2.0: Indexing and Mining One Billion Time Series (Abstract)

pp. 58-67

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Abstraction Augmented Markov Models (Abstract)

pp. 68-77

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A Graph-Based Approach for Multi-folder Email Classification (Abstract)

Sharma Chakravarthy

Aravind Venkatachalam

Aditya Telang

pp. 78-87

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Scalable Influence Maximization in Social Networks under the Linear Threshold Model (Abstract)

pp. 88-97

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CLUSMASTER: A Clustering Approach for Sampling Data Streams in Sensor Networks (Abstract)

pp. 98-107

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Bayesian Maximum Margin Clustering (Abstract)

Bo Dai

Baogang Hu

Gang Niu

pp. 108-117

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Viral Marketing for Multiple Products (Abstract)

pp. 118-127

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Finding Local Anomalies in Very High Dimensional Space (Abstract)

pp. 128-137

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PGLCM: Efficient Parallel Mining of Closed Frequent Gradual Itemsets (Abstract)

pp. 138-147

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Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document (Abstract)

Lan Du

Wray Lindsay Buntine

Huidong Jin

pp. 148-157

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Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach (Abstract)

pp. 158-167

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Feature Selection for Unsupervised Learning Using Random Cluster Ensembles (Abstract)

Haytham Elghazel

Alex Aussem

pp. 168-175

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Learning Attribute-to-Feature Mappings for Cold-Start Recommendations (Abstract)

Zeno Gantner

Lucas Drumond

Christoph Freudenthaler

Steffen Rendle

Lars Schmidt-Thieme

pp. 176-185

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An Extensive Empirical Study on Semi-supervised Learning (Abstract)

pp. 186-195

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Efficient Discovery of the Top-K Optimal Dependency Rules with Fisher's Exact Test of Significance (Abstract)

Wilhelmiina Hämäläinen

pp. 196-205

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A Variance Reduction Framework for Stable Feature Selection (Abstract)

Yue Han

Lei Yu

pp. 206-215

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Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection (Abstract)

pp. 216-225

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Rare Category Characterization (Abstract)

pp. 226-235

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Algorithm for Discovering Low-Variance 3-Clusters from Real-Valued Datasets (Abstract)

Zhen Hu

Raj Bhatnagar

pp. 236-245

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Improved Consistent Sampling, Weighted Minhash and L1 Sketching (Abstract)

Sergey Ioffe

pp. 246-255

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An Approach Based on Tree Kernels for Opinion Mining of Online Product Reviews (Abstract)

pp. 256-265

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A Pairwise-Systematic Microaggregation for Statistical Disclosure Control (Abstract)

pp. 266-273

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Multi-label Feature Selection for Graph Classification (Abstract)

Xiangnan Kong

pp. 274-283

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A Binary Decision Diagram-Based One-Class Classifier (Abstract)

Takuro Kutsuna

pp. 284-293

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Detecting Blackhole and Volcano Patterns in Directed Networks (Abstract)

pp. 294-303

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Exploiting Local Data Uncertainty to Boost Global Outlier Detection (Abstract)

Bo Liu

Jie Yin

pp. 304-313

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Training Conditional Random Fields Using Transfer Learning for Gesture Recognition (Abstract)

Jie Liu

Kai Yu

Yi Zhang

Yalou Huang

pp. 314-323

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Stratified Sampling for Data Mining on the Deep Web (Abstract)

pp. 324-333

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Learning Markov Network Structure with Decision Trees (Abstract)

Daniel Lowd

Jesse Davis

pp. 334-343

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Towards Structural Sparsity: An Explicit l2/l0 Approach (Abstract)

pp. 344-353

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Multi-document Summarization Using Minimum Distortion (Abstract)

Tengfei Ma

Xiaojun Wan

pp. 354-363

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A Log-Linear Model with Latent Features for Dyadic Prediction (Abstract)

Aditya Krishna Menon

Charles Elkan

pp. 364-373

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Edge Weight Regularization over Multiple Graphs for Similarity Learning (Abstract)

Pradeep Muthukrishnan

Dragomir Radev

Qiaozhu Mei

pp. 374-383

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A New SVM Approach to Multi-instance Multi-label Learning (Abstract)

Nam Nguyen

pp. 384-392

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Bayesian Aggregation of Binary Classifiers (Abstract)

Sunho Park

Seungjin Choi

pp. 393-402

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Permutations as Angular Data: Efficient Inference in Factorial Spaces (Abstract)

pp. 403-410

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Separation of Interleaved Web Sessions with Heuristic Search (Abstract)

pp. 411-420

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Consequences of Variability in Classifier Performance Estimates (Abstract)

pp. 421-430

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Mining Sensor Streams for Discovering Human Activity Patterns over Time (Abstract)

Parisa Rashidi

Diane J. Cook

pp. 431-440

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Decision Trees for Uplift Modeling (Abstract)

Piotr Rzepakowski

Szymon Jaroszewicz

pp. 441-450

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Co-clustering of Lagged Data (Abstract)

pp. 451-460

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Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times (Abstract)

Jin Shieh

pp. 461-470

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Discovering Correlated Subspace Clusters in 3D Continuous-Valued Data (Abstract)

Kelvin Sim

Zeyar Aung

Vivekanand Gopalkrishnan

pp. 471-480

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gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration (Abstract)

pp. 481-490

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LogTree: A Framework for Generating System Events from Raw Textual Logs (Abstract)

Liang Tang

Tao Li

pp. 491-500

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Mining Closed Strict Episodes (Abstract)

Nikolaj Tatti

Boris Cule

pp. 501-510

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Multi-dimensional Mass Estimation and Mass-based Clustering (Abstract)

Kai Ming Ting

Jonathan R. Wells

pp. 511-520

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minCEntropy: A Novel Information Theoretic Approach for the Generation of Alternative Clusterings (Abstract)

Nguyen Xuan Vinh

Julien Epps

pp. 521-530

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A Conscience On-line Learning Approach for Kernel-Based Clustering (Abstract)

pp. 531-540

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Weighted Feature Subset Non-negative Matrix Factorization and Its Applications to Document Understanding (Abstract)

Dingding Wang

Tao Li

Chris Ding

pp. 541-550

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Learning a Bi-Stochastic Data Similarity Matrix (Abstract)

Fei Wang

Ping Li

Arnd Christian König

pp. 551-560

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Active Spectral Clustering (Abstract)

Xiang Wang

Ian Davidson

pp. 561-568

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Discovering Overlapping Groups in Social Media (Abstract)

pp. 569-578

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Adaptive Distances on Sets of Vectors (Abstract)

Adam Woznica

Alexandros Kalousis

pp. 579-588

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Bo Liu

Jie Yin

pp. 589-598

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Modeling Information Diffusion in Implicit Networks (Abstract)

Jaewon Yang

Jure Leskovec

pp. 599-608

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Term Filtering with Bounded Error (Abstract)

Zi Yang

Wei Li

Jie Tang

Juanzi Li

pp. 609-618

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Exploiting Unlabeled Data to Enhance Ensemble Diversity (Abstract)

Min-Ling Zhang

Zhi-Hua Zhou

pp. 619-628

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Constraint Based Dimension Correlation and Distance Divergence for Clustering High-Dimensional Data (Abstract)

Xianchao Zhang

Yao Wu

Yang Qiu

pp. 629-638

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Active Learning from Multiple Noisy Labelers with Varied Costs (Abstract)

pp. 639-648

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A Novel Contrast Co-learning Framework for Generating High Quality Training Data (Abstract)

Jun Yan

pp. 649-658

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Network Simplification with Minimal Loss of Connectivity (Abstract)

pp. 659-668

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Improving Kernel Methods through Complex Data Mapping (Abstract)

pp. 669-678

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NESVM: A Fast Gradient Method for Support Vector Machines (Abstract)

pp. 679-688

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Clustering Large Attributed Graphs: An Efficient Incremental Approach (Abstract)

pp. 689-698

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Mother Fugger: Mining Historical Manuscripts with Local Color Patches (Abstract)

Qiang Zhu

pp. 699-708

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D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification (Abstract)

Qing He

pp. 709-718

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SONNET: Efficient Approximate Nearest Neighbor Using Multi-core (Abstract)

pp. 719-724

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Two of a Kind or the Ratings Game? Adaptive Pairwise Preferences and Latent Factor Models (Abstract)

Suhrid Balakrishnan

Sumit Chopra

pp. 725-730

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Gianmarco De Francisci Morales

Ranieri Baraglia

Claudio Lucchese

pp. 731-736

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María José Ramírez-Quintana

Quantification via Probability Estimators (Abstract)

Antonio Bella

Cèsar Ferri

José Hernández-Orallo

pp. 737-742

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Learning Collaborative Filtering and Its Application to People to People Recommendation in Social Networks (Abstract)

pp. 743-748

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Approximation of Frequentness Probability of Itemsets in Uncertain Data (Abstract)

pp. 749-754

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On Finding Frequent Patterns in Event Sequences (Abstract)

Andrea Campagna

Rasmus Pagh

pp. 755-760

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Active Improvement of Hierarchical Object Features under Budget Constraints (Abstract)

Nicolas Cebron

pp. 761-766

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Pseudo Conditional Random Fields: Joint Training Approach to Segmenting and Labeling Sequence Data (Abstract)

Shing-Kit Chan

Wai Lam

pp. 767-772

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Location and Scatter Matching for Dataset Shift in Text Mining (Abstract)

Bo Chen

Wai Lam

Ivor Tsang

Tak-Lam Wong

pp. 773-778

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Learning Preferences with Millions of Parameters by Enforcing Sparsity (Abstract)

Xi Chen

pp. 779-784

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QMAS: Querying, Mining and Summarization of Multi-modal Databases (Abstract)

Fan Guo

pp. 785-790

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Block-GP: Scalable Gaussian Process Regression for Multimodal Data (Abstract)

Kamalika Das

Ashok N. Srivastava

pp. 791-796

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Active Learning with Human-Like Noisy Oracle (Abstract)

Jun Du

Charles X. Ling

pp. 797-802

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Monotone Relabeling in Ordinal Classification (Abstract)

Ad Feelders

pp. 803-808

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The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord (Abstract)

George Giannakopoulos

Themis Palpanas

pp. 809-814

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Resilient K-d Trees: K-Means in Space Revisited (Abstract)

pp. 815-820

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Advertising Campaigns Management: Should We Be Greedy? (Abstract)

pp. 821-826

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Accelerating Radius-Margin Parameter Selection for SVMs Using Geometric Bounds (Abstract)

pp. 827-832

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Enhancing Single-Objective Projective Clustering Ensembles (Abstract)

pp. 833-838

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Minimizing the Variance of Cluster Mixture Models for Clustering Uncertain Objects (Abstract)

pp. 839-844

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Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms (Abstract)

pp. 845-850

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Multi-stream Join Answering for Mining Significant Cross-Stream Correlations (Abstract)

Robert Gwadera

pp. 851-856

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Category Mining by Heterogeneous Data Fusion Using PdLSI Model in a Retail Service (Abstract)

pp. 857-862

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Content-Based Methods for Predicting Web-Site Demographic Attributes (Abstract)

pp. 863-868

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Discrimination Aware Decision Tree Learning (Abstract)

pp. 869-874

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Patterns on the Connected Components of Terabyte-Scale Graphs (Abstract)

U. Kang

pp. 875-880

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Attribution of Conversion Events to Multi-channel Media (Abstract)

Dyng Au

pp. 881-886

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Mining Public Transport Usage for Personalised Intelligent Transport Systems (Abstract)

pp. 887-892

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Micro-blogging Sentiment Detection by Collaborative Online Learning (Abstract)

pp. 893-898

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Enforcing Vocabulary k-Anonymity by Semantic Similarity Based Clustering (Abstract)

Junqiang Liu

Ke Wang

pp. 899-904

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Efficient Probabilistic Latent Semantic Analysis with Sparsity Control (Abstract)

Sen Liu

Chaolun Xia

Xiaohong Jiang

pp. 905-910

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Understanding of Internal Clustering Validation Measures (Abstract)

pp. 911-916

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Transfer Learning via Cluster Correspondence Inference (Abstract)

pp. 917-922

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Supervised Link Prediction Using Multiple Sources (Abstract)

pp. 923-928

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Addressing Concept-Evolution in Concept-Drifting Data Streams (Abstract)

Bhavani Thuraisingham

pp. 929-934

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Sparse Boolean Matrix Factorizations (Abstract)

Pauli Miettinen

pp. 935-940

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Veerabhadran Baladandayuthapani

On the Computation of Stochastic Search Variable Selection in Linear Regression with UDFs (Abstract)

Mario Navas

Carlos Ordonez

pp. 941-946

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Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to Streams (Abstract)

Vit Niennattrakul

Chotirat Ann Ratanamahatana

pp. 947-952

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Anomaly Detection Using an Ensemble of Feature Models (Abstract)

pp. 953-958

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Assessing Data Mining Results on Matrices with Randomization (Abstract)

Markus Ojala

pp. 959-964

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A Generalized Linear Threshold Model for Multiple Cascades (Abstract)

pp. 965-970

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Recommending Social Events from Mobile Phone Location Data (Abstract)

pp. 971-976

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On Normalizing Fuzzy Coincidence Matrices to Compare Fuzzy and/or Possibilistic Partitions with the Rand Index (Abstract)

pp. 977-982

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Financial Forecasting with Gompertz Multiple Kernel Learning (Abstract)

Han Qin

Dejing Dou

Yue Fang

pp. 983-988

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Leveraging D-Separation for Relational Data Sets (Abstract)

Matthew J.H. Rattigan

David Jensen

pp. 989-994

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Factorization Machines (Abstract)

Steffen Rendle

pp. 995-1000

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Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs (Abstract)

pp. 1001-1006

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An Approach for Automatic Sleep Stage Scoring and Apnea-Hypopnea Detection (Abstract)

Tim Schlüter

Stefan Conrad

pp. 1007-1012

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Bonsai: Growing Interesting Small Trees (Abstract)

pp. 1013-1018

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Mixed-Membership Stochastic Block-Models for Transactional Networks (Abstract)

Mahdi Shafiei

Hugh Chipman

pp. 1019-1024

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Generalized Probabilistic Matrix Factorizations for Collaborative Filtering (Abstract)

Hanhuai Shan

Arindam Banerjee

pp. 1025-1030

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Topic Modeling Ensembles (Abstract)

pp. 1031-1036

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Interval-valued Matrix Factorization with Applications (Abstract)

pp. 1037-1042

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Efficient Semi-supervised Spectral Co-clustering with Constraints (Abstract)

Xiaoxiao Shi

Wei Fan

pp. 1043-1048

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Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation (Abstract)

Xiaoxiao Shi

Qi Liu

Wei Fan

Ruixin Zhu

pp. 1049-1054

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One-Class Matrix Completion with Low-Density Factorizations (Abstract)

Vikas Sindhwani

Serhat S. Bucak

Jianying Hu

Aleksandra Mojsilovic

pp. 1055-1060

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A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support (Abstract)

pp. 1061-1066

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Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method (Abstract)

Xu Sun

pp. 1067-1072

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Visualizing Graphs Using Minimum Spanning Dendrograms (Abstract)

Daniel Svonava

Michail Vlachos

pp. 1073-1078

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Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical Systems (Abstract)

Xiao Yu

pp. 1079-1084

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Kilian Thiel

Michael R. Berthold

pp. 1085-1090

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On the Vulnerability of Large Graphs (Abstract)

Hanghang Tong

B. Aditya Prakash

Charalampos Tsourakakis

pp. 1091-1096

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Testing the Significance of Patterns in Data with Cluster Structure (Abstract)

Niko Vuokko

Petteri Kaski

pp. 1097-1102

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Compressed Nonnegative Sparse Coding (Abstract)

Fei Wang

Ping Li

pp. 1103-1108

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Anonymizing Temporal Data (Abstract)

Ke Wang

Yabo Xu

Raymond Chi-Wing Wong

Ada Wai-Chee Fu

pp. 1109-1114

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Homotopy Regularization for Boosting (Abstract)

pp. 1115-1120

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What Do People Want in Microblogs? Measuring Interestingness of Hashtags in Twitter (Abstract)

Qi He

pp. 1121-1126

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Probabilistic Inference Protection on Anonymized Data (Abstract)

Raymond Chi-Wing Wong

Ada Wai-Chee Fu

Ke Wang

Yabo Xu

Jian Pei

pp. 1127-1132

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Collaborative Learning between Visual Content and Hidden Semantic for Image Retrieval (Abstract)

Jun Wu

Ming-Yu Lu

Chun-Li Wang

pp. 1133-1138

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Max-Clique: A Top-Down Graph-Based Approach to Frequent Pattern Mining (Abstract)

Yan Xie

pp. 1139-1144

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Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model (Abstract)

Ju Fan

pp. 1145-1150

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Passive Sampling for Regression (Abstract)

Hwanjo Yu

Sungchul Kim

pp. 1151-1156

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Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling (Abstract)

Jun Yu

Weng-Keen Wong

Rebecca A. Hutchinson

pp. 1157-1162

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Causal Discovery from Streaming Features (Abstract)

Kui Yu

pp. 1163-1168

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ABS: The Anti Bouncing Model for Usage Data Streams (Abstract)

pp. 1169-1174

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Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams (Abstract)

Peng Zhang

Xingquan Zhu

Jianlong Tan

Li Guo

pp. 1175-1180

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Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation (Abstract)

Xianchao Zhang

Yansheng Jiang

Wenxin Liang

Xin Han

pp. 1181-1186

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K-AP: Generating Specified K Clusters by Efficient Affinity Propagation (Abstract)

pp. 1187-1192

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MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model (Abstract)

pp. 1193-1198

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Hierarchical Ensemble Clustering (Abstract)

Li Zheng

Tao Li

Chris Ding

pp. 1199-1204

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Frequent Instruction Sequential Pattern Mining in Hardware Sample Data (Abstract)

Jia Zou

Jing Xiao

Rui Hou

Yanqi Wang

pp. 1205-1210

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Efficient Episode Mining with Minimal and Non-overlapping Occurrences (Abstract)

pp. 1211-1216

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Spatial and Spatio-temporal Data Mining (Abstract)

Vania Bogorny

Shashi Shekhar

pp. 1217

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Knowledge Discovery in Academic Drug Discovery Programs: Opportunities and Challenges (Abstract)

Jun Huan

pp. 1218

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How to Do Good Data Mining Research and Get it Published in Top Venues (Abstract)

pp. 1219

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Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data (Abstract)

pp. 1220

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Author Index (PDF)

pp. 1221-1226

[Publisher information] (PDF)

pp. 1228