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» Benchmarking Data Mining Algorithms
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MLDM
2007
Springer
15 years 9 months ago
Mining Frequent Trajectories of Moving Objects for Location Prediction
Advances in wireless and mobile technology flood us with amounts of moving object data that preclude all means of manual data processing. The volume of data gathered from position...
Mikolaj Morzy
136
Voted
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
15 years 9 months ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han
137
Voted
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
15 years 9 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
102
Voted
KDD
1995
ACM
176views Data Mining» more  KDD 1995»
15 years 7 months ago
MDL-Based Decision Tree Pruning
This paper explores the application of the Minimum Description Length principle for pruning decision trees. We present a new algorithm that intuitively captures the primary goal o...
Manish Mehta 0002, Jorma Rissanen, Rakesh Agrawal
129
Voted
KER
2006
107views more  KER 2006»
15 years 3 months ago
Partitioning strategies for distributed association rule mining
In this paper a number of alternative strategies for distributed/parallel association rule mining are investigated. The methods examined make use of a data structure, the T-tree, ...
Frans Coenen, Paul H. Leng