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KDD
2002
ACM
144views Data Mining» more  KDD 2002»
15 years 10 months ago
Efficiently mining frequent trees in a forest
Mining frequent trees is very useful in domains like bioinformatics, web mining, mining semi-structured data, and so on. We formulate the problem of mining (embedded) subtrees in ...
Mohammed Javeed Zaki
WISE
2005
Springer
15 years 3 months ago
A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis
Web transaction data between Web visitors and Web functionalities usually convey user task-oriented behavior pattern. Mining such type of clickstream data will lead to capture usag...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 4 months ago
Regression Learning Vector Quantization
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...
Mihajlo Grbovic, Slobodan Vucetic
74
Voted
ICDM
2010
IEEE
105views Data Mining» more  ICDM 2010»
14 years 7 months ago
On the Vulnerability of Large Graphs
Given a large graph, like a computer network, which k nodes should we immunize (or monitor, or remove), to make it as robust as possible against a computer virus attack? We need (...
Hanghang Tong, B. Aditya Prakash, Charalampos E. T...
CIKM
2005
Springer
15 years 3 months ago
WAM-Miner: in the search of web access motifs from historical web log data
Existing web usage mining techniques focus only on discovering knowledge based on the statistical measures obtained from the static characteristics of web usage data. They do not ...
Qiankun Zhao, Sourav S. Bhowmick, Le Gruenwald