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Proceedings of Machine Learning Research

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Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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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

[bib][citeproc]

Contents:

  • Front Matter
  • Accepted Papers

Filter Authors: Filter Titles:

Front Matter

Preface

; Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 36:i-ix

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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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