data mining methods

Data Mining Methods for Network Intrusion Detection

White Paper This paper propose that the solution to this problem is the application of an ensemble of data mining techniques which can be applied to network connection data in an offline environment, augmenting existing real-time sensors. [10 Jul 2008]

Clustering-Based Network Intrusion Detection

White Paper Off late data mining methods have gained importance in addressing network security issues, including network intrusion detection - a challenging task in network security. Classification-based data mining models for intrusion detection are of-ten... [10 Jul 2008]

A Framework for an Adaptive Intrusion Detection System With Data Mining

White Paper Data mining methods have been used to build automatic intrusion detection systems based on anomaly detection. The goal is to characterize the normal system activities with a profile by applying mining algorithms to audit data so that abnormal... [09 Jul 2008]

e-Mining Myth & Magic: Using Data Mining Successfully

White Paper This ferreting accounts for 70-80% of all data mining the rest uses statistical methods, rules engines, and that forever misused term artificial intelligence. This article introduces some of the ways to move towards your very own data mining... [03 Jul 2008]

From Data to Insight: The Community of Multimedia Agents

White Paper Multimedia Data Mining requires the ability to automatically analyze and understand the content. The Community of Multimedia Agents project (COMMA) is devoted to creating an open environment for developing, testing, learning and prototyping... [03 Jul 2008]

KPS: A Web Information Mining Algorithm

White Paper In this paper, we present a novel information mining algorithm, namely KPS, over semi-structured information on the Web. Experimental results show that KPS is more efficient than existing Web extracting methods. [03 Jul 2008]

Intrusion Detection Using Data Mining Along Fuzzy Logic and Genetic Algorithms

White Paper The work discussed in this paper has explored the possibility of integrating the fuzzy logic with Data Mining methods using Genetic Algorithms for intrusion detection. An architecture for Intrusion Detection methods has been proposed by using Data... [19 Jun 2008]

It's 9:00am - Do You Know Where Your Critical Talent Is?: Retention Analytics for Human Capital Management

White Paper Data mining and predictive modeling can be used to improve retention of critical employees. This paper demonstrates analytic methods to address this problem. Employee retention is an increasingly serious issue in many business sectors. [31 May 2008]

Silicon Storage Technology, Inc. Uses MySQL to Power Self-Service Intranet

White Paper Every form ties into an automatically generated database backend for data storage and mining activities. By using MySQL on a Sun E450, the SST intranet team was able to create a core system that has a homepage for each department, a profile for... [10 Apr 2008]

Ranking Interesting Subspaces for Clustering High Dimensional Data

Application domains such as life sciences, e.g.molecular biology produce a tremendous amount of data which can no longer be managed without the help of efficient and effective data mining methods. One of the primary data mining tasks is clustering. [09 Jan 2008]

Ranking Interesting Subspaces for Clustering High Dimensional Data

White Paper Application domains such as life sciences, e.g.molecular biology produce a tremendous amount of data which can no longer be managed without the help of efficient and effective data mining methods. One of the primary data mining tasks is clustering. [08 Jan 2008]

Introduction to the SAS9 Business Intelligence Platform: A Tutorial

White Paper BI applications support the activities of decision support, query and reporting, OnLine Analytical Processing (OLAP), statistical analysis, forecasting, and data mining. BI includes a set of concepts and methods to improve business decision making... [02 Jun 2007]

Predictive Modeling in Higher Education

White Paper Data mining can be defined as advanced methods for exploring and modeling relationships in large amounts of data. Data mining has been used by universities in a number of areas, including but not limited to enrollment management, retention and... [01 Jun 2007]

Dataminning to Investigate the Prescribing of Medications Longitudinally

White Paper Severity conditions of a patient are classified using Enterprise Miner (data mining). Proper use of the data mining and High Performance Forecasting approaches can lower costs and improve the healthcare of society. [01 Jun 2007]

Towards Learning-Based Sensor Management

White Paper This position paper shall serve as a preliminary proof-of-concept that techniques and algorithms from the machine learning and data mining domains can be applied to network data to learn relevant information about the routing behavior of... [23 May 2007]

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