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Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for Decision Making, Part 1

Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for... Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for Decision Making, Part 1 Data Mining is an analytic process to explore data in search of consistent patterns and/or system- atic relationships between variables, and then to validate the findings by applying the detected patterns to new sets of data. More specifically, pattern-driven mining, analytics, and prediction have received a lot of attention in the last two decades since information discovered in data can be used to support decision and strategy making. The results can also be utilized in decision sup- port or information management systems (IMS). Different types of patterns and knowledge can be mined (extracted) from various applications and domains. Many previous studies focused on designing and implementing new methodologies to handle different constraints and require- ments. This special issue focuses on discovering the knowledge, rules, and information for decision support and management information systems. Innovative methodologies, principles, methods, techniques, framework, theory, and applications are thus considered to deal with the challenges for decision support and management information systems. In this special issue there were 47 submissions. For Part 1, we are publishing eight articles, with more planned for a future issue. All accepted manuscripts http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Management Information Systems (TMIS) Association for Computing Machinery

Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for Decision Making, Part 1

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References (8)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2021 Copyright held by the owner/author(s).
ISSN
2158-656X
eISSN
2158-6578
DOI
10.1145/3486960
Publisher site
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Abstract

Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for Decision Making, Part 1 Data Mining is an analytic process to explore data in search of consistent patterns and/or system- atic relationships between variables, and then to validate the findings by applying the detected patterns to new sets of data. More specifically, pattern-driven mining, analytics, and prediction have received a lot of attention in the last two decades since information discovered in data can be used to support decision and strategy making. The results can also be utilized in decision sup- port or information management systems (IMS). Different types of patterns and knowledge can be mined (extracted) from various applications and domains. Many previous studies focused on designing and implementing new methodologies to handle different constraints and require- ments. This special issue focuses on discovering the knowledge, rules, and information for decision support and management information systems. Innovative methodologies, principles, methods, techniques, framework, theory, and applications are thus considered to deal with the challenges for decision support and management information systems. In this special issue there were 47 submissions. For Part 1, we are publishing eight articles, with more planned for a future issue. All accepted manuscripts

Journal

ACM Transactions on Management Information Systems (TMIS) – Association for Computing Machinery

Published: Oct 28, 2021

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