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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 9 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
SAFECOMP
1998
Springer
14 years 22 days ago
An Agenda for Specifying Software Components with Complex Data Models
Abstract. We present a method to specify software for a special kind of safetycritical embedded systems, where sensors deliver low-level values that must be abstracted and pre-proc...
Kirsten Winter, Thomas Santen, Maritta Heisel
CLOUD
2010
ACM
14 years 1 months ago
G-Store: a scalable data store for transactional multi key access in the cloud
Cloud computing has emerged as a preferred platform for deploying scalable web-applications. With the growing scale of these applications and the data associated with them, scalab...
Sudipto Das, Divyakant Agrawal, Amr El Abbadi
WSE
2002
IEEE
14 years 1 months ago
Dynamic Model Extraction and Statistical Analysis of Web Applications
The World Wide Web, initially intended as a way to publish static hypertexts on the Internet, is moving toward complex applications. Static Web sites are being gradually replaced ...
Paolo Tonella, Filippo Ricca
ECCV
2010
Springer
14 years 1 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov