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» Data Mining and Database Systems: Where is the Intersection
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CIKM
2009
Springer
16 years 14 days ago
L2 norm regularized feature kernel regression for graph data
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
Hongliang Fei, Jun Huan
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
16 years 6 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
SIGMOD
2008
ACM
113views Database» more  SIGMOD 2008»
15 years 5 months ago
Supporting OLAP operations over imperfectly integrated taxonomies
OLAP is an important tool in decision support. With the help of domain knowledge, such as hierarchies of attribute values, OLAP helps the user observe the effects of various decis...
Yan Qi 0002, K. Selçuk Candan, Jun'ichi Tat...
VLDB
2004
ACM
106views Database» more  VLDB 2004»
15 years 11 months ago
An Integration Framework for Sensor Networks and Data Stream Management Systems
This demonstration shows an integrated query processing environment where users can seamlessly query both a data stream management system and a sensor network with one query expre...
Daniel J. Abadi, Wolfgang Lindner, Samuel Madden, ...
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
16 years 2 days ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh