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PAKDD
2007
ACM
183views Data Mining» more  PAKDD 2007»
14 years 2 months ago
Translation and Rotation Invariant Mining of Frequent Trajectories: Application to Protein Unfolding Pathways
We present a framework for mining frequent trajectories, which are translated and/or rotated with respect to one another. We then discuss a multiresolution methodology, based on th...
Alexander Andreopoulos, Bill Andreopoulos, Aijun A...
CMG
2001
13 years 10 months ago
Effective Use of the KDD Process and Data Mining for Computer Performance Professionals
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Susan P. Imberman
AICCSA
2008
IEEE
842views Hardware» more  AICCSA 2008»
13 years 10 months ago
Intelligent heart disease prediction system using data mining techniques
The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not "mined" to discover hidden information for effective decision making. Disc...
Sellappan Palaniappan, Rafiah Awang
IADIS
2004
13 years 10 months ago
Discovering data dependencies in Web content mining
Web content mining opens up the possibility to use data presented in web pages for the discovery of interesting and useful patterns. Our web mining tool, FBL (Filtered Bayesian Le...
José Carlos Cortizo, J. Ignacio Girá...
ISSTA
2009
ACM
14 years 3 months ago
Identifying bug signatures using discriminative graph mining
Bug localization has attracted a lot of attention recently. Most existing methods focus on pinpointing a single statement or function call which is very likely to contain bugs. Al...
Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xif...