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111
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KDD
2005
ACM
170views Data Mining» more  KDD 2005»
16 years 1 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
141
Voted
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
16 years 1 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
KDD
2003
ACM
266views Data Mining» more  KDD 2003»
16 years 1 months ago
Applying data mining in investigating money laundering crimes
In this paper, we study the problem of applying data mining to facilitate the investigation of money laundering crimes (MLCs). We have identified a new paradigm of problems --- th...
Zhongfei (Mark) Zhang, John J. Salerno, Philip S. ...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 1 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
118
Voted
CHI
2004
ACM
16 years 1 months ago
Master usability scaling: magnitude estimation and master scaling applied to usability measurement
Master Usability Scaling (MUS) is a measurement method for developing a universal usability continuum based on magnitude estimation and master scaling. The universal usability con...
Mick McGee
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