Abstract. We present a method that improves the results of network intrusion detection by integration of several anomaly detection algorithms through trust and reputation models. O...
We propose a dynamic faceted search system for discoverydriven analysis on data with both textual content and structured attributes. From a keyword query, we want to dynamically s...
Debabrata Dash, Jun Rao, Nimrod Megiddo, Anastasia...
This paper describes the research and development of a methodology to identify the type of information required by the service advisor (CSA) within customer contact centre (CCC) e...
S. Shah, Rajkumar Roy, Ashutosh Tiwari, Basim Maje...
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Conventional approaches to similarity search and case-based retrieval, such as nearest neighbor search, require the specification of a global similarity measure which is typically ...