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Proceedings of Machine Learning Research | Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications Held in New York, New York, USA on 24 August 2014 Published as Volume 36 by the Proceedings of Machine Learning Research on 13 August 2014. Volume Edited by: Wei Fan Albert Bifet Qiang Yang Philip S. Yu Series Editors: Neil D. Lawrence Mark Reid
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Volume 36: Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, 24 August 2014, New York, New York, USA

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Editors: Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu

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Contents:

Front Matter

Preface

Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:i-ix

Accepted Papers

Parallel Graph Mining with GPUs

Robert Kessl, Nilothpal Talukder, Pranay Anchuri, Mohammed Zaki; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:1-16

Gibbs Collapsed Sampling for Latent Dirichlet Allocation on Spark

Zhuolin Qiu, Bin Wu, Bai Wang, Le Yu; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:17-28

FAQ: A Framework for Fast Approximate Query Processing on Temporal Data

Udayan Khurana, Srinivasan Parthasarathy, Deepak Turaga; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:29-45

Reducing Data Loading Bottleneck with Coarse Feature Vectors for Large Scale Learning

Shingo Takamatsu, Carlos Guestrin; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:46-60

A Clustering Algorithm Merging MCMC and EM Methods Using SQL Queries

David Matusevich, Carlos Ordonez; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:61-76

A Fast Distributed Stochastic Gradient Descent Algorithm for Matrix Factorization

Fanglin Li, Bin Wu, Liutong Xu, Chuan Shi, Jing Shi; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:77-87

The Gamma Operator for Big Data Summarization on an Array DBMS

Carlos Ordonez, Yiqun Zhang, Wellington Cabrera; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:88-103

Towards Optimal Execution of Density-based Clustering on Heterogeneous Hardware

Dirk Habich, Stefanie Gahrig, Wolfgang Lehner; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:104-119

Scalable Graph Building from Text Data

Thibault Debatty, Pietro Michiardi, Olivier Thonnard, Wim Mees; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:120-132

High density-focused uncertainty sampling for active learning over evolving stream data

Dino Ienco, Indrė Žliobaitė, Bernhard Pfahringer; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:133-148

iPARAS: Incremental Construction of Parameter Space for Online Association Mining

Xiao Qin, Ramoza Ahsan, Xika Lin, Elke Rundensteiner, Matthew Ward; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:149-165

Frequent Subgraph Discovery in Large Attributed Streaming Graphs

Abhik Ray, Larry Holder, Sutanay Choudhury; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:166-181

From Tweets to Stories: Using Stream-Dashboard to weave the twitter data stream into dynamic cluster models

Basheer Hawwash, Olfa Nasraoui; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:182-197

Ensembles of Adaptive Model Rules from High-Speed Data Streams

João Duarte, João Gama; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:198-213

Scalable Heterogeneous Transfer Ranking

Mohammad Taha Bahadori, Yi Chang, Bo Long, Yan Liu; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:214-228

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