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SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
14 years 2 months ago
Time Series Analysis Using the Concept of Adaptable Threshold Similarity
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
CIKM
2010
Springer
13 years 7 months ago
Collaborative future event recommendation
We demonstrate a method for collaborative ranking of future events. Previous work on recommender systems typically relies on feedback on a particular item, such as a movie, and ge...
Einat Minkov, Ben Charrow, Jonathan Ledlie, Seth J...
DMIN
2007
85views Data Mining» more  DMIN 2007»
13 years 10 months ago
A Clustering Approach for Achieving Data Privacy
Abstract — New privacy regulations together with everincreasing data availability and computational power have created a huge interest in data privacy research. One major researc...
Alina Campan, Traian Marius Truta, John Miller, Ra...
BMCBI
2007
207views more  BMCBI 2007»
13 years 8 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
SDM
2008
SIAM
97views Data Mining» more  SDM 2008»
13 years 10 months ago
Efficient Distribution Mining and Classification
We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...