1 Resources for

data mining tool

Subscribe to this listing via:
RSS
Email

Sponsored White Papers, Webcasts, and Downloads

TechRepublic Resources

Understanding customer behavior drives e-business success: Who comes to your company's Web site? How can this information be integrated into your back-end ERP system? Implementing the right customer analytic application will answer these questions. Find out how.How do you keep your marketing analysts from drowning in an ocean of clickstream data? E-business intelligence tools can transform...; Tags: Business intelligence, Web technology, E-business/E-commerce, Databases, Marketing research, Tools & Techniques, Matthew Osborn, Holden, e-business, Philip Russom, customer analytic, data mining tool, data mining, data warehouse; Technical articles 2000-04-07

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
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
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
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

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
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
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
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
On Density Based Transforms for Uncertain Data Mining: In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many real data sets have missing attribute values or values which are only approximately measured or imputed. This paper shows...; Tags: Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2007-01-12
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
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
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
Data Mining and Customer Relationships: Data mining - technologies and techniques for recognizing and tracking patterns within data - helps businesses sift through layers of seemingly unrelated data for meaningful relationships, where they can anticipate, rather than simply react to, customer needs. In this accessible introduction, provides a business and technological overview of data mining...; Tags: Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 1995-01-01
MSDN Webcast: Working With Data Mining in SQL Server 2005 (Level 200): Data mining is a fast-growing area of business analytics that involves using advanced statistical techniques to find patterns in large volumes of data. While Microsoft SQL Server 2000 included rudimentary data mining tools, Microsoft SQL Server 2005 provides tools and algorithms that are far more powerful, both for the developer...; Tags: Microsoft Developer Network, Webcast, Microsoft SQL Server, Microsoft Corp., Microsoft SQL Server 2005, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; Webcasts
Uncertain Data Mining: A New Research Direction: Data uncertainty is often found in real-world applications due to reasons such as imprecise measurement, outdated sources, or sampling errors. Much research has been published in the area of managing data uncertainty in databases. This paper proposes that when data mining is performed on uncertain data, data uncertainty has to...; Tags: University Of Hong Kong, Data Uncertainty, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2005-12-08
TechNet Webcast: Mining for Quality: Apply Adaptive Data Quality With SQL Server Data Mining (Level 200): Good quality data is essential to a successful business intelligence application. Most of them are probably aware that Microsoft SQL Server includes some useful data quality tools such as Fuzzy Grouping or Fuzzy Lookup. However, there is one tool people may have overlooked - SQL Server Data Mining. When used...; Tags: Data Quality, Webcast, Microsoft SQL Server, Microsoft TechNet, Quality Data, Business Intelligence, Databases, Data Mining, Pricing, Enterprise Software, Software, Data Management, Marketing; Webcasts 2008-01-17
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

<< Previous
page 1 of 1
Next >>

TechRepublic's Data Protection Policy: Your organization is subject to a mix of strict legal, ethical, and self-imposed mandates that protect all of the organization's information, records, ...; Buy Now

Quick Guide: Windows Group Policy: One way for help desk technicians and network administrators to reduce help desk calls and protect their networks is to limit the damage curious users ...; Buy Now