Member Login

E-mail:    Password:  




 TitleDate AddedCompany
whitepaper Ontology-Based Information Extraction for Business Intelligence2007-08-24 University of Sheffield
  Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers or feed statistical BI models and tools. The massive amount of information available to business analysts makes information extraction and other natural language processing tools key enablers for the acquisition and use of that semantic information. The paper describes the application of ontology-based extraction and merging in the context of a practical e-business application for the EU MUSING Project where the goal is to gather international company intelligence and country/region information. The results of the experiments so far are very promising and the author is now in the process of building a complete end-to-end solution.

Tags: Web Services, Business Intelligence - Data Warehousing		   
whitepaper Symantec Security Information Manager(SSIM): A Technology Overview2007-08-21 Symantec
  Symantec Security Information Manager (SSIM) enables IT organizations to identify, prioritize, investigate, and respond to security threats that impact mission-critical business applications. It serves as a log consolidation system for identity management monitoring, compliance, and forensics requirements. Realtime correlation of network and host security breaches with Symantec's trusted global security threat intelligence makes SSIM the vehicle for a world class incident response system ensuring the integrity of business critical information assets.   
whitepaper Data Mining and Audience Intelligence for Advertising2007-08-15 Microsoft
  Growth in the global advertising industry - especially the recent rapid growth in online advertising - has generated large volumes of data, bringing along with it many challenging data mining problems. Researchers from various disciplines have brought their expertise to solve these exciting problems, leading to a plethora of novel applications and new algorithms. The author strongly felt that they needed a forum where data mining researchers and practitioners, from both academia and the industry, could come together to share their experience on advertising. To this end, the author organized ADKDD 2007 1, the First International Workshop on Data Mining and Audience Intelligence for Advertising, in conjunction with KDD 2007 at San Jose, California, USA.   
whitepaper Geometric Spanner for Routing in Mobile Networks2007-08-10 Stanford University
  This paper proposes a new routing graph, the Restricted Delaunay Graph (RDG), for ad hoc networks. Combined with a node clustering algorithm, RDG can be used as an underlying graph for geographic routing protocols. This graph has the following attractive properties; it is a planar graph; between any two nodes there exists a path in the RDG whose length, whether measure in terms of topological or Euclidean distance, is only a constant times the optimum length possible; and the graph can be maintained efficiently in a distributed manner when the nodes move around. The paper also shows by simulation that the RDG outperforms the previously proposed routing graphs under the Greedy Perimeter Stateless Routing (GPSR) protocol.

Tags: Mobile - Wireless Communications		   
whitepaper Optimizing Frequency Queries for Data Mining Applications2007-08-08 Columbia University
  Data mining algorithms use various Trie and bitmap-based representations to optimize the support (i.e., frequency) counting performance. This paper compares the memory requirements and support counting performance of FP Tree, and Compressed Patricia Trie against several novel variants of vertical bit vectors. First, borrowing ideas from the VLDB domain, they compress vertical bit vectors using WAH encoding. Second, they evaluate the Gray code rank-based transaction reordering scheme, and show that in practice, simple lexicographic ordering, obtained by applying LSB Radix sort, outperforms this scheme.   
whitepaper Modelling Incentives for Collaboration in Mobile Ad Hoc Networks2007-08-01 University of Cambridge
  This paper explores a model for the operation of an ad hoc mobile network. The model incorporates incentives for users to act as transit nodes on multi-hop paths and to be rewarded with their own ability to send traffic. The paper explores consequences of the model by means of uid-level simulations of a network and illustrates the way in which network resources are allocated to users according to their geographical position.

Tags: 		  
whitepaper Innovate Faster with Oracle Database 11g2007-08-01 Oracle
  Oracle Database 11g addresses the very heart of what slows every IT organization: the ability to make changes with confidence. Using Oracle Database 11g, organizations can simplify your information infrastructure by enabling consolidation of all your information. Oracle Database 11g also continues to free up valuable technical resources for the higher value tasks of planning and implementing new business processes by automating administrative workloads.



Tags: Data Visualization, Database Management, Business Intelligence - Data Warehousing, High Performance Computing, Infrastructure Management, Database Applications, Knowledge and Data Management, Data Quality, Data Center		   
whitepaper Data Protection Commissioner Inspection: Are You Ready?2007-08-01 Backupanytime
  Legal requirements regarding the data holding and how to manage it are not new. Neither is the Data Protection act which outlines the requirements and in effect the responsibilities. The powers of the Data protection commissioner and more to the point the likelihood of inspection have however increased. This was demonstrated by Prime time media coverage in 2006 regarding alleged breaches. Random inspections have already commenced and are likely to increase in both volume and scope.   
whitepaper Healthcare Business Intelligence: The Time Is (Still) Now2007-08-01 Conversion Services International
  Business intelligence is rapidly becoming acknowledged as supporting healthcare's boardroom goals. Knowledge worker preparedness is also high. Making progress however can be another story. Moving forward in the progressive next steps will likely include some system modeling, education of executive support, user profiling, tool need classification and code set determination - all within the aforementioned domains of data warehousing and master data management.   
whitepaper A Bridge Structural Health Monitoring and Data Mining System2007-08-01 Iowa State University
  Structural Health Monitoring (SHM) is becoming a more widely accepted way to improve bridge management. Off late, a fiber optic SHM system was developed and deployed by the Iowa State University Bridge Engineering Center to continuously monitor bridge performance under ambient traffic loads and to detect potential gradual deterioration or sudden damage, specifically for Iowa's fracture-critical bridges. Strain time history data collected by this system were utilized to construct a baseline model that is based upon extreme-matching distribution. In this paper, the SHM system, relevant autonomous data mining results, and numerical verification are presented. Moreover, ongoing efforts in estimating the truck geometry/type, weight, and velocity are described.

Tags: Fibre