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JDWM
2006
84views more  JDWM 2006»
14 years 11 months ago
Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data
This paper focuses on the discovery of surprising, unexpected patterns, based on a data mining method that consists of detecting instances of Simpson's paradox. By its very n...
Carem C. Fabris, Alex Alves Freitas
EACL
2003
ACL Anthology
15 years 1 months ago
An Integrated Term-Based Corpus Query System
In this paper we describe the X-TRACT workbench, which enables efficient termbased querying against a domain-specific literature corpus. Its main aim is to aid domain specialists ...
Kostas Manios, Goran Nenadic, Irena Spasic, Sophia...
SIGMOD
2008
ACM
144views Database» more  SIGMOD 2008»
16 years 1 hour ago
Mining significant graph patterns by leap search
With ever-increasing amounts of graph data from disparate sources, there has been a strong need for exploiting significant graph patterns with user-specified objective functions. ...
Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu
BPM
2007
Springer
109views Business» more  BPM 2007»
15 years 6 months ago
Process Mining Based on Regions of Languages
In this paper we give an overview, how to apply region based methods for the synthesis of Petri nets from languages to process mining. The research domain of process mining aims at...
Robin Bergenthum, Jörg Desel, Robert Lorenz, ...
ICDM
2008
IEEE
252views Data Mining» more  ICDM 2008»
15 years 6 months ago
Data Mining for Climate Change and Impacts
Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
Auroop R. Ganguly, Karsten Steinhaeuser