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» Phenomenal Data Mining: From Data to Phenomena
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IDEAS
2000
IEEE
90views Database» more  IDEAS 2000»
15 years 6 months ago
StreamJoin: A Generic Database Approach to Support the Class of Stream-Oriented Applications
Today many applications routinely generate large quantities of data. The data often takes the form of (time) series, or more generally streams, i.e. an ordered sequence of records...
Clara Nippl, Ralf Rantzau, Bernhard Mitschang
VLDB
2000
ACM
146views Database» more  VLDB 2000»
15 years 5 months ago
A Database Platform for Bioinformatics
In recent years, new developments in genetics have generated a lot of interest in genomic and proteomic data, investing international significance (and competition) in the fledgli...
Sandeepan Banerjee
ICMLA
2009
14 years 11 months ago
Knowledge Transfer for Feature Generation in Document Classification
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
Jian Zhang, Shobhit S. Shakya
MOBISYS
2010
ACM
15 years 4 months ago
GreenGPS: a participatory sensing fuel-efficient maps application
This paper develops a navigation service, called GreenGPS, that uses participatory sensing data to map fuel consumption on city streets, allowing drivers to find the most fueleffi...
Raghu K. Ganti, Nam Pham, Hossein Ahmadi, Saurabh ...
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 2 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han