ALSO CALLED: Datamining, Analytics, Data Dredging, Database Analytics, Datamine, and Data-mining DEFINITION: Data mining is sorting through data to identify patterns and establish relationships.
Data mining parameters include:
Association - looking for patterns where one event is connected to another event
Sequence or path analysis - looking for patterns where one event leads to another later
Definition continues below.
PODCAST: Posted: 26 Jun 2008 | Premiered: 26 Jun 2008, 09:00 EDT (13:00 GMT)
SUMMARY:
In this 20-minute podcast, appropriate for both business and IT professionals, listeners will find out how to get a handle on data quality needs through a data quality assessment.
CASE STUDY: Posted: 09 Jun 2008 | Published: 07 Jun 2008
SUMMARY:
By using FAMIS, Nortel has realized its mandate for an accurate, secure, consistent, and shared repository of information and HOK has created a global reporting system generating global monthly snapshots, developing report scheduling.
WHITE PAPER: Posted: 09 Apr 2008 | Published: 01 Feb 2008
SUMMARY:
Content archiving is becoming a popular strategy in today's organizations. Read this IDC white paper to learn how you can benefit from the advantages of content archiving solutions while also meeting your legal, regulatory and business initiatives.
SERVICE LISTING: Posted: 28 Mar 2008 | Published: 01 Mar 2008
SUMMARY:
Utilize an integrated solution that combines all the key components critical for a successful data integration implementation. Explore cutting edge best practices that can lead to a highly standardized approach to all stages of implementation.
SERVICE LISTING: Posted: 28 Mar 2008 | Published: 01 Mar 2008
SUMMARY:
Learn about data migration services that will alleviate your data migration challenges and combine all the key components critical for a successful data migration implementation.
BOOK: Posted: 27 Mar 2008 | Published: 01 Jun 2007
SUMMARY:
New Aberdeen research reveals that customer data quality is a sales and marketing leadership issue. Aberdeen found that over 70% of Best-in-Class firms are driven to improve customer data quality by competitive and profitability pressures ...
WHITE PAPER: Posted: 20 Feb 2008 | Published: 01 Jan 2007
SUMMARY:
Understand your data on a whole new level with visual analytics. Learn techniques and software that will help you interact with, visualize and navigate your data.
WHITE PAPER: Posted: 31 Aug 2007 | Published: 01 Jan 2006
SUMMARY:
New Dual-Core Itanium 2-based servers provide new levels of performance, reliability, and cost effective scalability for data-intensive computing needs. Read this white and learn how to advance your IT infrastructure.
BOOK: Posted: 03 May 2006 | Published: 31 Dec 2005
SUMMARY:
This paper explores the leading business intelligence (BI) applications across industry verticals. It is useful for business users just learning about BI applications, as well as for project managers and report developers looking for best practices.
Classification - looking for new patterns (May result in a change in the way the data is organized but that's ok)
Clustering - finding and visually documenting groups of facts not previously known
Forecasting - discovering patterns in data that can lead to reasonable predictions about the future (This area of data mining is known as predictive analytics.)
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