Gregory Piatetsky-shapiro, Tom Khabaza, Sridhar Ramaswamy
Analyzing gene expression data from microarray devices has many important applications in medicine and biology, but presents significant challenges to data mining. Microarray data typically has many...
ABSTRACT Knowledge Discovery in Databases: 10 years after (2008)
In this paper, we describe the past 10 years of KDD and outline
Gregory Piatetsky-shapiro, Robert Grossman, Chabane Djeraba, U. Of Lille
We discuss what makes exciting and motivating Grand Challenge problems for Data Mining, and propose criteria for a good Grand Challenge. We then consider possible GC problems from multimedia mining,...
Machine Learning and Data Mining – Course Notes (2008)
This course uses the textbook by Witten and Eibe, Data Mining (W&E) and Weka software developed by their group. This course is designed for senior undergraduate or first-year graduate students....
Key Findings Reporter for Analysis of Health-Care Information (2008)
Christopher J. Matheus, Gregory Piatetsky-shapiro, Dwight Mcneill
The Key Findings Reporter (KEFIR) is a system for discovering and explaining "key findings" in large, relational databases. This paper describes an application of KEFIR to the analysis of...
William J. Frawley, Gregory Piatetsky-shapiro, Christopher J. Matheus
(For membership information, consult our web page) The material herein is copyrighted material. It may not be reproduced in any form by any electronic or mechanical means (including photocopying,...
Gregory Piatetsky-shapiro, Georges Grinstein
We discuss our effort to date and plan to create a generator of synthetic but realistic microarray datasets, use it to build a comprehensive test suite for to studying the performance of different...
Data mining: How research meets practical development (2003)
Xindong Wu, Philip S. Yu, Gregory Piatetsky-shapiro, Nick Cercone, T. Y. Lin, Ramamohanarao Kotagiri, ...
From data mining to knowledge discovery in databases (1996)
Usama Fayyad, Gregory Piatetsky-shapiro, Padhraic Smyth
■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article...
The KDD Process for Extracting Useful Knowledge from Volumes of Data (1996)
Gregory Piatetsky-shapiro, Padhraic Smyth, Terry Widener
developing the tools needed to control the flood of data facing organizations that depend on ever-growing databases of business, manufacturing, scientific, and personal information.
Knowledge Discovery and Data Mining: Towards a Unifying Framework (1996)
Usama Fayyad, Usama Fayyad, Gregory Piatetsky-shapiro, Gregory Piatetsky-shapiro, Padhraic Smyth, Padhraic Smyth
This paper presents a first step towards a unifying framework for Knowledge Discovery in Databases. We describe links between data mining, knowledge discovery, and other related fields. We then...
From Data Mining to Knowledge Discovery in Databases (1996)
Usama Fayyad, Gregory Piatetsky-shapiro, Padhraic Smyth
This article provides an overview of this emerging field, clarifying how data mining and knowledge
From data mining to knowledge discovery in databases (1996)
Usama Fayyad, Gregory Piatetsky-shapiro, Padhraic Smyth
■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article...
KDD-93: Progress and challenges in knowledge discovery in databases (1994)
Gregory Piatetsky-shapiro, Christopher Matheus, Ramasamy Uthurusamy
(For membership information, consult our web page) The material herein is copyrighted material. It may not be reproduced in any form by any electronic or mechanical means (including photocopying,...
An Application of KEFIR to the Analysis of Healthcare Information (1994)
Christopher Matheus, Gregory Piatetsky-shapiro, Dwight Mcneill
The Key Findings Reporter (KEFIR) is a system for discovering and explaining "key findings" in large, relational databases. This paper describes an application of KEFIR to the analysis of...
The Interestingness of Deviations (1994)
Gregory Piatetsky-shapiro, Christopher J. Matheus
One of the most promising areas in Knowledge Discovery in Databases is the automatic analysis of changes and deviations. Several systems have recently been developed for this task. Success of these...
Discovering Dynamics: From Inductive Logic Programming to Machine Discovery (1993)
Saso Dzeroski, Ljupco Todorovski, Gregory Piatetsky-shapiro
. Machine discovery systems help humans to find natural laws from collections of experimentally collected data. Most of the laws found by existing machine discovery systems describe static...
Systems for Knowledge Discovery in Databases (1993)
Christopher J. Matheus, Philip K. Chan, Gregory Piatetsky-shapiro
The automated discovery of knowledge in databases is becoming increasingly important as the world's wealth of data continues to grow exponentially. Knowledge-discovery systems face challenging...