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ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
14 years 2 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
DPD
2002
125views more  DPD 2002»
13 years 10 months ago
Parallel Mining of Outliers in Large Database
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
Edward Hung, David Wai-Lok Cheung
ALT
2010
Springer
13 years 12 months ago
Contrast Pattern Mining and Its Application for Building Robust Classifiers
: The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their d...
Kotagiri Ramamohanarao
SIGMOD
2010
ACM
207views Database» more  SIGMOD 2010»
13 years 10 months ago
Leveraging spatio-temporal redundancy for RFID data cleansing
Radio Frequency Identification (RFID) technologies are used in many applications for data collection. However, raw RFID readings are usually of low quality and may contain many an...
Haiquan Chen, Wei-Shinn Ku, Haixun Wang, Min-Te Su...
VLDB
2002
ACM
264views Database» more  VLDB 2002»
13 years 10 months ago
Viator - A Tool Family for Graphical Networking and Data View Creation
Web-based data sources, particularly in Life Sciences, grow in diversity and volume. Most of the data collections are equipped with common document search, hyperlink and retrieval...
Stephan Heymann, Katja Tham, Axel Kilian, Gunnar W...