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RECSYS
2010
ACM
15 years 2 months ago
Recommending based on rating frequencies
Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
Fatih Gedikli, Dietmar Jannach
ENVSOFT
2006
84views more  ENVSOFT 2006»
15 years 2 months ago
Modeling the fate of down-the-drain chemicals in rivers: An improved software for GREAT-ER
GREAT-ER (Geography-referenced Regional Exposure Assessment Tool for European Rivers) is a model system for predicting chemical fate and exposure in surface waters. The GREAT-ER a...
F. Koormann, J. Rominger, D. Schowanek, J.-O. Wagn...
221
Voted
GIS
2008
ACM
16 years 3 months ago
Should SDBMS support a join index?: a case study from CrimeStat
Given a spatial crime data warehouse, that is updated infrequently and a set of operations O as well as constraints of storage and update overheads, the index type selection probl...
Pradeep Mohan, Ronald E. Wilson, Shashi Shekhar, B...
219
Voted
SIGMOD
2008
ACM
164views Database» more  SIGMOD 2008»
16 years 2 months ago
Finding frequent items in probabilistic data
Computing statistical information on probabilistic data has attracted a lot of attention recently, as the data generated from a wide range of data sources are inherently fuzzy or ...
Qin Zhang, Feifei Li, Ke Yi
132
Voted
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 9 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava