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» Data Aggregation Sets in Adaptive Data Model
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SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
16 years 4 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
EDBT
2009
ACM
145views Database» more  EDBT 2009»
15 years 8 months ago
An efficient online auditing approach to limit private data disclosure
In a database system, disclosure of confidential private data may occur if users can put together the answers of past queries. Traditional access control mechanisms cannot guard a...
Haibing Lu, Yingjiu Li, Vijayalakshmi Atluri, Jaid...
UAI
2008
15 years 6 months ago
Learning Hidden Markov Models for Regression using Path Aggregation
We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for re...
Keith Noto, Mark Craven
AIM
2004
15 years 4 months ago
Qualitative Spatial Reasoning Extracting and Reasoning with Spatial Aggregates
Reasoning about spatial data is a key task in many applications, including geographic information systems, meteorological and fluid flow analysis, computer-aided design, and prote...
Christopher Bailey-Kellogg, Feng Zhao
UM
2005
Springer
15 years 10 months ago
A Decomposition Model for the Layered Evaluation of Interactive Adaptive Systems
Abstract. A promising approach towards evaluating adaptive systems is to decompose the adaptation process and evaluate the system in a “piece-wise” manner. This paper presents ...
Alex Paramythis, Stephan Weibelzahl