Published by www.springer.com on May 28, 2004
Conference paper
Part of the Lecture Notes in Computer Science book series (LNAI,volume 3056)
PAKDD 2004: Advances in Knowledge Discovery and Data Mining pp 2
Abstract
The past two decades has seen a huge wave of computational systems for the “digitization” of business operations from ERP, to manufacturing, to systems for customer interactions. These systems increased the throughput and efficiency of conducting “transactions” and resulted in an unprecedented build-up of data captured from these systems. The paradoxical reality that most organizations face today is that they have more data about every aspect of their operations and customers, yet they find themselves with an ever diminishing understanding of either. Data Mining has received much attention as a technology that can possibly bridge the gap between data and knowledge.
Author information
Authors and Affiliations
President, DMX Group, LLC, USA
Usama Fayyad
Editor information
Editors and Affiliations
School of Engineering and Information Technology, Deakin University, VIC 3125, Australia
Honghua Dai
University of Illinois at Urbana-Champaign, 61801, Urbana, IL, USA
Ramakrishnan Srikant
Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, and Australian ACS National Committee for Artificial Intelligence, University of Technology, Sydney, Australia
Chengqi Zhang
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