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ICML
2009
IEEE
14 years 9 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
WWW
2007
ACM
14 years 9 months ago
Detectives: detecting coalition hit inflation attacks in advertising networks streams
Click fraud is jeopardizing the industry of Internet advertising. Internet advertising is crucial for the thriving of the entire Internet, since it allows producers to advertise t...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
BTW
2007
Springer
136views Database» more  BTW 2007»
14 years 3 months ago
System P: Completeness-driven Query Answering in Peer Data Management Systems
Abstract: Peer data management systems (PDMS) are a highly dynamic, decentralized infrastructure for large-scale data integration. They consist of a dynamic set of autonomous peers...
Armin Roth, Felix Naumann
SIGMOD
2008
ACM
203views Database» more  SIGMOD 2008»
14 years 9 months ago
Querying continuous functions in a database system
Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
Arvind Thiagarajan, Samuel Madden
EWSN
2008
Springer
14 years 8 months ago
Efficient Clustering for Improving Network Performance in Wireless Sensor Networks
Clustering is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption and achieving better network performance. Mo...
Tal Anker, Danny Bickson, Danny Dolev, Bracha Hod