Sponsored White Papers, Webcasts, and Downloads
TechRepublic Resources
- Web Mining for Web Personalization
- Web personalization is the process of customizing a Web site to the needs of specific users, taking advantage of the knowledge acquired from the analysis of the user's navigational behavior usage data in correlation with other information collected in the Web context, namely, structure, content and user profile data. This...
- Tags: Web, Personalization, Web Mining, Web Personalization, Channel Management, Marketing
- White papers 2003-03-18
- Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems
- This paper describes a personalized recommender system that uses web mining techniques for recommending a student which next links to visit within an adaptable educational hypermedia system. They present a specific mining tool and a recommender engine that one has integrated in the AHA! system in order to help the...
- Tags: Hypermedia, Data Mining, Web Mining
- White papers 2007-06-05
Additional Resources
- Data Mining Primer for the Data Warehouse Professional
- Very little has been written to explain the challenges facing IT organizations as they try to make data mining a part of their business intelligence operations. This paper explores data mining from the IT perspective, providing a quick overview of data mining technology, technical challenges and solutions for implementing successful...
- Tags: Data Warehouse, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing
- White papers
- Link Mining: A New Data Mining Challenge
- A key challenge for data mining is tackling the problem of mining richly structured datasets, where the objects are linked in some way. Links among the objects may demonstrate certain patterns, which can be helpful for many data mining tasks and are usually hard to capture with traditional statistical models....
- Tags: University Of Maryland, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing
- White papers 2008-01-01
- A DOM Tree Alignment Model for Mining Parallel Data From the Web
- This paper presents a new web mining scheme for parallel data acquisition. Based on the Document Object Model DOM, a web page is represented as a DOM tree. Then a DOM tree alignment model is proposed to identify the translationally equivalent texts and hyperlinks between two parallel DOM trees. By...
- Tags: Web, Document Object Model, XML, Software/Web Development, Web Development
- White papers 2006-05-26
- Discovery (rar)
- This EVE Online mining bot automates the mining and selling of ore. Some of the features include stopping the ship at server downtime and restarting it at server uptime, asteroid belt randomization and multiple asteroid mining. Discovery Mining Bot is a product from Public Demands and full support is offered...
- Tags: Public Demands, Servers, Hardware
- Software downloads 2008-05-06
- Indexing and Data Access Methods for Database Mining
- Most of today's techniques for data mining and association rule mining ARM in particular, can be aptly termed "flat file mining", since the database is typically transformed to a flat file that is input to the mining software. Previous research in the integration of ARM with databases looked largely at...
- Tags: Lucent Technologies Inc., Data Access, Alcatel, Productivity, Storage, Databases, Hardware, Enterprise Software, Software, Data Management
- White papers
- TechNet Webcast: Deliver Actionable Insight Throughout Your Organization With Data Mining (Part 1 of 3): Your First Project With SQL Server Data Mining (Level 200)
- Many users are intrigued and excited to see data mining available in the Microsoft SQL Server product, but many don't know how to start using these features. This webcast leads through the first steps to success for data mining projects. It looks at the overall architecture of data mining and...
- Tags: Webcast, Microsoft SQL Server, Microsoft TechNet, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing
- Webcasts 2007-11-01
- TechNet Webcast: Getting Started With Data Mining (Level 200)
- This webcast presents overview of data mining from a database development perspective. It begins with a discussion of the business value and uses of data mining, such as prediction and forecasting and explains how to detect anomalies, and how to recognize scenarios for which Microsoft data mining technology is best...
- Tags: Webcast, Microsoft TechNet, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing
- Webcasts
- Visual Data Mining: From Visualization to Visual Information Mining
- Data mining has been fruitfully used in many of domains, including marketing, medicine, finance, engineering and bioinformatics. There still are, however, a number of factors that militate against the widespread adoption and use of this new technology. This is mainly due to the fact that the results of many data...
- Tags: Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing
- White papers 2008-01-01
- Toward Knowledge-Rich Data Mining
- Data mining has made tremendous progress in the last ten years. However, a large gap remains between the results a data mining system can provide and taking actions based on them. This gap must be filled by human work, which greatly limits the efficiency of the overall process and the...
- Tags: Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing
- White papers 2007-02-23
- Text Mining With Oracle Text
- Text mining is loosely defined as ?data mining for text? In Oracle?s view, text mining involves using natural language processing NLP and statistical/probabilistic techniques for finding nuggets and patterns in text collections. A nugget is a new, unknown item where a pattern is the occurrence of a known item. Some...
- Tags: Nugget, Oracle Corp., Text Mining
- White papers 2004-01-01
- TechNet Webcast: Introduction to Data Mining With SQL Server 2005 (Level 200)
- Microsoft SQL Server 2005 expands the data mining capabilities dramatically. This webcast introduces the possibilities of data mining and predictive analytics. Through this webcast one can learn about the data mining process, and the specific mining features in SQL Server 2005.
- Tags: Webcast, Microsoft SQL Server, Microsoft SQL Server 2005, Microsoft TechNet, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing
- Webcasts
- Mining Views: Database Views for Data Mining
- This paper proposes a relational database model towards the integration of data mining into relational database systems, based on the so called virtual mining views. The paper shows that several types of patterns and models over the data, such as itemsets, association rules, decision trees and clusterings, can be represented...
- Tags: Algorithm, SQL, RDBMS, Technische Universiteit Eindhoven, Databases, Data Mining, Business Intelligence, Enterprise Software, Software, Data Management
- White papers 2007-08-08
- Exploiting Web Log Mining for Web Cache Enhancement
- Improving the performance of the Web is a crucial requirement, since its popularity resulted in a large increase in the user perceived latency. This paper describes a Web caching scheme that capitalizes on prefetching. Prefetching refers to the mechanism of deducing forthcoming page accesses of a client, based on access...
- Tags: Web, performance
- White papers 2002-08-27
- Optimizing Data Mining Workloads Using Hardware Accelerators
- Data mining is the process of finding useful and actionable patterns in large data sets. Data mining algorithms have become vital to researchers in science, engineering, medicine, business, search and security domains. In recent years, there has been a tremendous increase in the size of the data being collected and...
- Tags: Hardware, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing
- White papers 2007-01-15
- Oracle Data Mining 10g Release 2: Know More, Do More, Spend Less
- Oracle Data Mining is powerful data mining software embedded in the Oracle Database that enables to discover new insights hidden in the data. Oracle Data Mining helps businesses to target their best customers, find and prevent fraud, discover the most influential attributes that affect Key Performance Indicators KPIs, and find...
- Tags: Oracle Corp., Oracle Data Mining, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing
- White papers 2005-09-01
- Visualizing Data Mining Models
- The point of data visualization is to let the user understand what is going on. Since data mining usually involves extracting hidden information from a database, this understanding process can get somewhat complicated. In most standard database operations nearly everything the user sees is something that they knew existed in...
- Tags: Data Mining, Business Intelligence, Marketing Research, Databases, Storage, Enterprise Software, Software, Data Management, Marketing, Hardware
- White papers
- Data-Centric Automated Data Mining
- Data mining is a difficult task. It requires complex methodologies, including problem definition, data preparation, model selection, and model evaluation. This has limited the adoption of data mining at large and in the database and Business Intelligence BI communities more specifically. The concepts and methodologies used in data mining are...
- Tags: Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing
- White papers 2005-09-30
- Data Mining and Cryptology
- This paper addresses the issue of mining encrypted data, in order to protect confidential information while permitting knowledge discovery. Common cryptographic algorithms are considered and their robustness against data mining algorithms is evaluated. Having identified robust cryptosystems, data are encrypted and well-known data mining techniques are applied on the encrypted...
- Tags: University Of Patras, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing
- White papers 2003-06-01
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