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» Benchmarking Data Mining Algorithms
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GECCO
2006
Springer
128views Optimization» more  GECCO 2006»
15 years 7 months ago
FTXI: fault tolerance XCS in integer
In the realm of data mining, several key issues exists in the traditional classification algorithms, such as low readability, large rule number, and low accuracy with information ...
Hong-Wei Chen, Ying-Ping Chen
WWW
2005
ACM
16 years 4 months ago
Web log mining with adaptive support thresholds
With the fast increase in Web activities, Web data mining has recently become an important research topic. However, most previous studies of mining path traversal patterns are bas...
Jian Chih Ou, Chang-Hung Lee, Ming-Syan Chen
KDD
2005
ACM
151views Data Mining» more  KDD 2005»
16 years 4 months ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai
ICDM
2007
IEEE
119views Data Mining» more  ICDM 2007»
15 years 10 months ago
Reducing UK-Means to K-Means
This paper proposes an optimisation to the UK-means algorithm, which generalises the k-means algorithm to handle objects whose locations are uncertain. The location of each object...
Sau Dan Lee, Ben Kao, Reynold Cheng
138
Voted
KDD
2009
ACM
170views Data Mining» more  KDD 2009»
16 years 4 months ago
Genre-based decomposition of email class noise
Corruption of data by class-label noise is an important practical concern impacting many classification problems. Studies of data cleaning techniques often assume a uniform label ...
Aleksander Kolcz, Gordon V. Cormack