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 TitleDate AddedCompany
whitepaper Data Mining Techniques for (Network) Intrusion Detection Systems2007-01-12 University of California
  In Information Security, intrusion detection is the act of detecting actions that attempt to compromise the confidentiality, integrity or availability of a resource. Intrusion detection does not, in general, include prevention of intrusions. This paper mostly focused on data mining techniques that are being used for such purposes. It debates on the advantages and disadvantages of these techniques. Finally the paper presents a new idea on how data mining can aid IDSs.

Tags: Security Tools, Intrusion Detection Systems		   
whitepaper Freehills Adopts Integrated Microsoft System for Financial Reporting and Analysis System2007-01-01 Microsoft Tips
  Leading Australian law firm Freehills faced many information challenges. The firm needed its people to make faster decisions based on accurate, up-to-date information, but they were challenged by a financial reporting system that had evolved over time and was becoming increasingly difficult to maintain. Freehills overhauled its core business intelligence infrastructure, replacing it with technology built on Microsoft's SQL Server 2005 Analytics and Reporting platform. Developed with Microsoft Gold Certified Partners ADERANT, the new reporting system has cut the time it takes to produce reports, empowered users, improved the consistency of data across Freehills, and allowed more in-depth analysis of the firm's financial information.

Tags: Database Management, Finance		   
whitepaper Training Teachers Across a Diversity of Contexts: An Analysis of International Evaluation Data on the Intel Teach Essentials Course, 20062007-01-01 Intel
  The Intel Education Initiative seeks to form a trusted partnership with ministries of education in countries across the world to support educational reform by integrating technology into project-based learning environments. As part of the partnership, Intel also offers a portfolio of teacher professional development programs. The Intel Education Initiative has consistently invested in the evaluation of the Essentials Course worldwide, both to inform the continuous improvement of the program and its implementation model, and to document and demonstrate the impact of the program on its teacher participants. This report on the global evaluation of the Essentials Course draws on data from both quantitative evaluations done in many countries and qualitative reports that are often part of the local evaluation.

Tags: Career Development, Courseware		   
whitepaper Partner Support for HP Neoview: Ecosystem to Support Your Investment2007-01-01 Hewlett-Packard (HP)
  HP's partners are BI world leaders and with the HP Neoview platform anchor an entire decision-support environment, so that one can quickly analyze data, refine it, and understand it.

Tags: Decision Support - DW Front End, Business Intelligence - Data Warehousing		   
whitepaper Discover How Analytics Makes the Difference Between Managing and Improving Performance2006-11-07 SAS Institute
  There is a big difference between formulating a strategy and executing it. Executives set objectives and devise reasonable strategies to achieve them, but more times than not, implementing them proves problematic. An estimated 90 percent of companies fail to fully implement their strategies. Although many contributing factors intervene, such as changing priorities and cultural issues, one consistently recurring flaw is the misapplication or lack of information key to implementing effectual performance management.   
whitepaper The Netrics Difference2006-08-01 Netrics
  Netrics is taking data matching to a whole new level of intelligence--the human level. Conventional computer software is great at exact matching. It can process thousands, even millions, of transactions per second, and achieve an inhuman level of accuracy. But throw in some real-world problems, and that incredibly powerful system can seem pretty helpless. What happens if two digits in the Social Security number are transposed? Or if the customers' first and last names are reversed? Or if the company name is entered slightly differently on two different records?

Read this paper for more information on Netrics' data matching solutions.

Tags: Data Quality, Database Marketing, High Performance Computing, Database Applications, Database Management, Business Intelligence - Data Warehousing		   
whitepaper The Design and Analysis of D-optimal Split-Plot Designs Using JMP Version 6 Software2006-05-01 SAS Institute
  An experiment is a process or study that results in the collection of data. The results of experiments are not known in advance. Usually, statistical experiments are conducted when researchers can manipulate the conditions of the experiment and control the factors that are relevant to the research objectives. For example, a rental car company might compare the tread wear of four brands of tires, while controlling the type of car, speed, road surface, weather, and driver. However, there are situations in which a condition is difficult to manipulate. For example, it might be difficult to change the temperature of a furnace from 400º C to 350º C and then back to 400º C.   
whitepaper Using SVM to Extract Acronyms From Text2006-04-07 Springer Science+Business Media
  This paper addresses the problem of extracting acronyms and their expansions from text. The paper proposes a Support Vector Machines (SVM) based approach to deal with the problem. First, all likely acronyms are identified using heuristic rules. Second, expansion candidates are generated from surrounding text of acronyms. Last, SVM model is employed to select the genuine expansions. Analysis shows that the proposed approach has the advantages of saving over the conventional rule based approaches. Experimental results show that the approach outperforms the baseline method of using rules. The paper also shows that the trained SVM model is generic and can adapt to other domains easily.

Tags: Learning Management Systems		   
whitepaper Data Mining for Network Intrusion Detection System in Real Time2006-02-01 Jilin University
  Intrusion detection technology is an effective approach to dealing with the problems of network security. This paper present a data mining-based Network Intrusion Detection framework in real time (NIDS). This framework is a distributed architecture consisting of sensor, data preprocessor, extractors of features and detectors. To improve efficiency, the approach adopts a novel FP-tree structure and FP-growth mining method to extract features based on FP-tree without candidate generation. FP-growth is just accord with the system of real-time and updating data frequently as NIDS. It employs DARPA intrusion detection evaluation data set to train and test the feasibility of the proposed method. Experimental results show that the performance is efficient and satisfactory.

Tags: Security Tools, Intrusion Detection Systems		   
whitepaper Government Customer Reference: U.S. Army targets saving billions of dollars in processing costs with new forms automation2005-10-20 IBM
  With a mandate to protect freedoms and to preserve the peace, effective and rapid decision making is of paramount importance to the U.S. Army. Thousands of decisions are made daily--from supply orders to medical, logistical, transportation and personnel matters.

Those decisions can't be implemented until they are properly authorized. And for centuries, the best way to confirm that authorization was with a signature on a paper form. But that paper-based system can no longer handle the speed and flexibility that is required in the field today. Not to mention the costs and exposures of maintaining such a labor-intensive workflow.

Tags: Data Visualization, Business Intelligence - Data Warehousing, ROI - TCO, High Performance Computing