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» On the Scalable Computation of Large Sets of Integrals
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ICML
2009
IEEE
16 years 18 days ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
KDD
2008
ACM
120views Data Mining» more  KDD 2008»
16 years 6 days ago
Entity categorization over large document collections
Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
Arnd Christian König, Rares Vernica, Venkates...
DEBS
2007
ACM
15 years 3 months ago
SpiderCast: a scalable interest-aware overlay for topic-based pub/sub communication
We introduce SpiderCast, a distributed protocol for constructing scalable churn-resistant overlay topologies for supporting decentralized topic-based pub/sub communication. Spider...
Gregory Chockler, Roie Melamed, Yoav Tock, Roman V...
KDD
1998
ACM
99views Data Mining» more  KDD 1998»
15 years 4 months ago
On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases
For a wide variety of classification algorithms, scalability to large databases can be achieved by observing that most algorithms are driven by a set of sufficient statistics that...
Goetz Graefe, Usama M. Fayyad, Surajit Chaudhuri
MIDDLEWARE
2010
Springer
14 years 10 months ago
Anonygator: Privacy and Integrity Preserving Data Aggregation
Abstract. Data aggregation is a key aspect of many distributed applications, such as distributed sensing, performance monitoring, and distributed diagnostics. In such settings, use...
Krishna P. N. Puttaswamy, Ranjita Bhagwan, Venkata...