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BigMine 2016 : 5th International Workshop on Big Data, Streams, and Heterogeneous Source Mining KDD 2016 Workshop | |||||||||
Link: http://www.bigdata-mining.org/ | |||||||||
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Call For Papers | |||||||||
CALL FOR PAPERS
Big Data Mining (KDD BigMine-16) 5th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine-16) - a KDD2016 Workshop KDD2016 Conference Dates: August 13-17, 2016 Workshop Date: August 14, 2016 San Francisco, California http://www.bigdata-mining.org KEY DATES --------- Papers due: May 27th 23:59PM Pacific Standard Time Acceptance notification: June 13, 2016 Workshop Final Paper Due: July 1, 2016 SCOPE ----- The goal of the workshop is to provide a forum to bring together researchers and practitioners to discuss important research questions and practical challenges in big data mining and related areas. We invite submission of papers describing innovative research on all aspects of big data mining, stream mining, knowledge discovery, data science and analytics. Novel ideas, controversial issues, open problems, comparisons of competing approaches, representation of alternative viewpoints, and discussions are all strongly encouraged. Papers emphasizing theoretical foundations, algorithms, systems, applications, language issues, data storage and access, architecture are particularly encouraged. Work-in-progress papers, demos, position and visionary papers are also welcome. We welcome submissions by authors who are new to the data mining research community. TOPICS ------ Examples of topics of interest include * Scalable, Distributed and Parallel Algorithms * New Programming Model for Large Data beyond Hadoop/MapReduce, Spark, Storm, streaming languages * Mining Algorithms of Data in non-traditional formats (unstructured, semi-structured) * Applications: social media, Internet of Things, Smart Grid, Smart Transportation Systems * Streaming Data Processing * Classification and Regression in Data Streams * Heterogeneous Sources and Format Mining * Systems Issues related to large datasets: clouds, streaming system, architecture, and issues beyond cloud and streams. * Interfaces to database systems and analytics. * Evaluation Technologies * Visualization for Big Data * Applications: Large scale recommendation systems, social media systems, social network systems, scientific data mining, environmental, urban and other large data mining applications. SUBMISSION ---------- Submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. Authors are strongly encouraged to make data and code publicly available whenever possible. Proceedings will be published as a dedicated volume of the JMLR Workshop and Conference Proceedings. This year we are accepting papers in two formats. Either 16 pages for regular papers (i.e., as standard KDD papers), or 4-6 pages for short papers. See the website for more information regarding paper preparation. WORKSHOP CHAIRS --------------- * Wei Fan, Baidu Research Big Data Lab * Albert Bifet, Telecom-ParisTech * Jesse Read, Telecom-ParisTech * Qiang Yang, Hong Kong University of Science and Technology * Philip Yu, University of Illinois at Chicago |
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