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Introduction

Introduction Introduction It is our great pleasure to present this inaugural issue for the ACM Transactions on Knowledge Discovery from Data (TKDD). Knowledge discovery from data has become a dynamic, fast-expanding, and interdisciplinary research eld, and has attracted great attention in the computer science research community and high-tech industry, as well as with data-intensive application users and the general public. With the rapid development of computer technology, data collection, and information management and processing technology as well as the advent of World Wide Web, huge volumes of data have been collected and made widely available in the past decade. There is an imminent need to turn the huge volume of data into knowledge. In response to such a grand challenge, research into knowledge discovery and data mining has been growing into a new eld with the con ‚uence of several disciplines, including statistical data analysis, machine learning, database systems, data warehousing, algorithms, high-performance computing, and data-intensive applications. It is now well recognized that knowledge discovery and data mining has become an important research eld in computer science. Thus, a dedicated, authoritative high-quality ACM journal will foster the development of knowledge discovery from data as a strong scienti c and http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Knowledge Discovery from Data (TKDD) Association for Computing Machinery

Introduction

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2007 by ACM Inc.
ISSN
1556-4681
DOI
10.1145/1217299.1217300
Publisher site
See Article on Publisher Site

Abstract

Introduction It is our great pleasure to present this inaugural issue for the ACM Transactions on Knowledge Discovery from Data (TKDD). Knowledge discovery from data has become a dynamic, fast-expanding, and interdisciplinary research eld, and has attracted great attention in the computer science research community and high-tech industry, as well as with data-intensive application users and the general public. With the rapid development of computer technology, data collection, and information management and processing technology as well as the advent of World Wide Web, huge volumes of data have been collected and made widely available in the past decade. There is an imminent need to turn the huge volume of data into knowledge. In response to such a grand challenge, research into knowledge discovery and data mining has been growing into a new eld with the con ‚uence of several disciplines, including statistical data analysis, machine learning, database systems, data warehousing, algorithms, high-performance computing, and data-intensive applications. It is now well recognized that knowledge discovery and data mining has become an important research eld in computer science. Thus, a dedicated, authoritative high-quality ACM journal will foster the development of knowledge discovery from data as a strong scienti c and

Journal

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

Published: Mar 1, 2007

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