2000
@article{Paz2000,
vgclass = {refpap},
author = {Michael J. Pazzani},
title = {Knowledge discovery from data?},
journal = {IEEE-IS},
volume = {15},
number = {2},
pages = {10--13},
month = {March/April},
year = {2000},
url = {http://dlib.computer.org/ex/books/ex2000/pdf/x2010.pdf},
abstract = {This issue of Intelligent Systems, along with the
Nov./Dec. 1999 issue, features articles on the topic of knowledge
discovery in data (KDD). In this installment of Trends and
Controveries, Michael Pazzani, chair of UC Irvine's Information and
Computer Science Department, boldly challenges the KDD community to
examine whether or not their work is really living up to its name:
helping people discover new knowledge. As a prominent practitioner in
the field, he is critiquing his own work as well as that of others. Not
content to just point out the problem, Pazzani suggests a new
direction: researchers should draw on cognitive psychology for insight
about how to create tools to help design knowledge-discovery systems.},
}