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

Introduction to the Special Issue of Best Papers in ACM SIGKDD 2014 Introduction to the Special Issue of Best Papers in ACM SIGKDD 2014 This special issue includes three articles that are representative of the best works presented in the research track of the ACM SIGKDD 2014 conference. The annual ACM SIGKDD conference is the leading international forum for data-mining researchers and practitioners from academia, industry, and government to share their research results, explore new ideas, and exchange experiences. Among academic conferences, the KDD conference typically has more of an emphasis on research motivated by real-world applications. It is important to keep in mind that it is this synergy of research in areas such as algorithms, computational geometry, database, graph theory, machine learning, natural language processing, statistics, visualization, and many others when applied to problems arising in diverse fields, such as the Web, medicine, biology, and marketing, driving our field forward and making it vibrant and fun. The theme for KDD 2014 was Data Science for Social Good. We were glad to observe an increase in the number of papers related to data mining for social good, as well as works on scaling up algorithms to deal with big data. It is extremely encouraging to see that data mining is http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Knowledge Discovery from Data (TKDD) Association for Computing Machinery

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

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2016 by ACM Inc.
ISSN
1556-4681
DOI
10.1145/2936718
Publisher site
See Article on Publisher Site

Abstract

Introduction to the Special Issue of Best Papers in ACM SIGKDD 2014 This special issue includes three articles that are representative of the best works presented in the research track of the ACM SIGKDD 2014 conference. The annual ACM SIGKDD conference is the leading international forum for data-mining researchers and practitioners from academia, industry, and government to share their research results, explore new ideas, and exchange experiences. Among academic conferences, the KDD conference typically has more of an emphasis on research motivated by real-world applications. It is important to keep in mind that it is this synergy of research in areas such as algorithms, computational geometry, database, graph theory, machine learning, natural language processing, statistics, visualization, and many others when applied to problems arising in diverse fields, such as the Web, medicine, biology, and marketing, driving our field forward and making it vibrant and fun. The theme for KDD 2014 was Data Science for Social Good. We were glad to observe an increase in the number of papers related to data mining for social good, as well as works on scaling up algorithms to deal with big data. It is extremely encouraging to see that data mining is

Journal

ACM Transactions on Knowledge Discovery from Data (TKDD) – Association for Computing Machinery

Published: Jul 27, 2016

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