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» Phenomenal Data Mining: From Data to Phenomena
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BPM
2009
Springer
169views Business» more  BPM 2009»
16 years 1 months ago
Analyzing Resource Behavior Using Process Mining
It is vital to use accurate models for the analysis, design, and/or control of business processes. Unfortunately, there are often important discrepancies between reality and models...
Joyce Nakatumba, Wil M. P. van der Aalst
ICDM
2008
IEEE
182views Data Mining» more  ICDM 2008»
16 years 1 months ago
Multiple-Instance Regression with Structured Data
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
Kiri L. Wagstaff, Terran Lane, Alex Roper
ICDE
2007
IEEE
129views Database» more  ICDE 2007»
16 years 27 days ago
Ontology-driven Rule Generalization and Categorization for Market Data
—Radio Frequency Identification (RFID) is an emerging technique that can significantly enhance supply chain processes and deliver customer service improvements. RFID provides use...
Dongwoo Won, Dennis McLeod
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 7 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
BPM
2004
Springer
148views Business» more  BPM 2004»
15 years 10 months ago
Interactive Workflow Mining
Many information systems log event data about executed tasks. Workflow mining is concerned with the derivation of a graphical workflow model out of this data. Experience from appl...
Markus Hammori, Joachim Herbst, Niko Kleiner