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» Knowledge Discovery from Series of Interval Events
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DIALM
2004
ACM
161views Algorithms» more  DIALM 2004»
13 years 9 months ago
Batch conflict resolution algorithm with progressively accurate multiplicity estimation
The wireless connectivity, essential for pervasive computing, has ephemeral character and can be used for creating ad hoc networks, sensor networks, connection with RFID tags etc....
Petar Popovski, Frank H. P. Fitzek, Ramjee Prasad
DATAMINE
2002
147views more  DATAMINE 2002»
13 years 5 months ago
Discretization: An Enabling Technique
Discrete values have important roles in data mining and knowledge discovery. They are about intervals of numbers which are more concise to represent and specify, easier to use and ...
Huan Liu, Farhad Hussain, Chew Lim Tan, Manoranjan...
WABI
2010
Springer
178views Bioinformatics» more  WABI 2010»
13 years 4 months ago
Haplotype Inference on Pedigrees with Recombinations and Mutations
Abstract. Haplotype Inference (HI) is a computational challenge of crucial importance in a range of genetic studies, such as functional genomics, pharmacogenetics and population ge...
Yuri Pirola, Paola Bonizzoni, Tao Jiang
SIGKDD
2010
259views more  SIGKDD 2010»
13 years 15 days ago
Activity recognition using cell phone accelerometers
Mobile devices are becoming increasingly sophisticated and the latest generation of smart cell phones now incorporates many diverse and powerful sensors. These sensors include GPS...
Jennifer R. Kwapisz, Gary M. Weiss, Samuel Moore
ASC
2008
13 years 5 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...