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» Benchmarking Data Mining Algorithms
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100
Voted
ICDM
2007
IEEE
99views Data Mining» more  ICDM 2007»
15 years 9 months ago
Optimizing Frequency Queries for Data Mining Applications
Data mining algorithms use various Trie and bitmap-based representations to optimize the support (i.e., frequency) counting performance. In this paper, we compare the memory requi...
Hassan H. Malik, John R. Kender
104
Voted
KDD
2003
ACM
130views Data Mining» more  KDD 2003»
16 years 3 months ago
Towards systematic design of distance functions for data mining applications
Distance function computation is a key subtask in many data mining algorithms and applications. The most effective form of the distance function can only be expressed in the conte...
Charu C. Aggarwal
101
Voted
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 3 months ago
The "DGX" distribution for mining massive, skewed data
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
Zhiqiang Bi, Christos Faloutsos, Flip Korn
108
Voted
ICDM
2008
IEEE
141views Data Mining» more  ICDM 2008»
15 years 9 months ago
Scalable Tensor Decompositions for Multi-aspect Data Mining
Modern applications such as Internet traffic, telecommunication records, and large-scale social networks generate massive amounts of data with multiple aspects and high dimensiona...
Tamara G. Kolda, Jimeng Sun
132
Voted
KDD
2004
ACM
198views Data Mining» more  KDD 2004»
15 years 8 months ago
Mining traffic data from probe-car system for travel time prediction
We are developing a technique to predict travel time of a vehicle for an objective road section, based on real time traffic data collected through a probe-car system. In the area ...
Takayuki Nakata, Jun-ichi Takeuchi