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PAKDD
2007
ACM
121views Data Mining» more  PAKDD 2007»
8 years 11 months ago
Two-Phase Algorithms for a Novel Utility-Frequent Mining Model
When companies seek for the combination of products which can constantly generate high profit, the association rule mining (ARM) or the utility mining will not achieve such task. ...
Jieh-Shan Yeh, Yu-Chiang Li, Chin-Chen Chang
PAKDD
2007
ACM
144views Data Mining» more  PAKDD 2007»
8 years 11 months ago
Approximately Mining Recently Representative Patterns on Data Streams
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
Jia-Ling Koh, Yuan-Bin Don
PAKDD
2007
ACM
183views Data Mining» more  PAKDD 2007»
8 years 11 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...
PAKDD
2007
ACM
181views Data Mining» more  PAKDD 2007»
8 years 11 months ago
Practical Issues on Privacy-Preserving Health Data Mining
Privacy-preserving data mining techniques could encourage health data custodians to provide accurate information for mining by ensuring that the data mining procedures and results ...
Huidong Jin
PAKDD
2007
ACM
238views Data Mining» more  PAKDD 2007»
8 years 11 months ago
A Distributed and Cooperative Black Hole Node Detection and Elimination Mechanism for Ad Hoc Networks
A mobile node in ad hoc networks may move arbitrarily and acts as a router and a host simultaneously. Such a characteristic makes nodes in MANET vulnerable to potential attacks. Th...
Chang-Wu Yu, Tung-Kuang Wu, Rei-Heng Cheng, Shun C...
PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
8 years 11 months ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang
PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
8 years 11 months ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
8 years 11 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
PAKDD
2007
ACM
137views Data Mining» more  PAKDD 2007»
8 years 11 months ago
Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data
Abstract. Contrast set mining aims at finding differences between different groups. This paper shows that a contrast set mining task can be transformed to a subgroup discovery ta...
Petra Kralj, Nada Lavrac, Dragan Gamberger, Antoni...
PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
8 years 11 months ago
Density-Sensitive Evolutionary Clustering
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo
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