Browse Research and Tech Reports - Computer Science by Subject "data mining"

• (2005-03)
Social network analysis has attracted much attention in recent years. Community mining is one of the major directions in social network analysis. Most of the existing methods on community mining assume that there is only ...

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• (2008-05)
Effective management of moving object data, originating in supply chain operations, road network monitoring, and other RFID applications, is a major challenge facing society today, with important implications into business ...

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• (2008-09)
This paper presents an approach to mine parametric state-based specifications from execution traces, which can involve multiple components. We first discuss a general framework for mining parametric properties from execution ...

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• (2006-12)
Scalable graph mining and graph database management tools become increasingly crucial to applications with complex data in domains ranging from software engineering to computational biology. Due to their high complexity, ...

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• (2004-05)
One natural, yet unusual, source of data is the set of queries that are performed on a database. We consider such queries to be reflective of data access patterns and we use them to create indices on the data that are ...

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• (2006-02)
Data mining is an emerging research area, whose goal is to discover potentially useful information embedded in databases. Due to the wide availability of huge amounts of data and the imminent need for turning such data ...

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• (2007-03)
Relational databases are the most popular repository for structured data, and are thus one of the richest sources of knowledge in the world. In a relational database, multiple relations are linked together via entity-relationship ...

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• (2005-05)
There is a huge amount of text information in the world, written in natural languages. Most of the text information is hard to access compared with other well-structured information sources such as relational databases. ...

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• (2008-05)
Classification is a core method widely studied in machine learning, statistics, and data mining. A lot of classification methods have been proposed in literature, such as Support Vector Machines, Decision Trees, and Bayesian ...

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• (2006-12)
Reliability has become ever important. Unfortunately, software errors continue to be frequent and account for the major causes of system failures. Further, detecting and fixing bugs is one of the most time-consuming and ...

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• (2004-11)
With its sheer amount of information, the Web is clearly an important frontier for data mining. While Web mining must start with content on the Web, there is no effective search-based'' mechanism to help sifting through ...

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