Text Clustering Algorithms. Find the BI software solution related to text clustering algorithms.
 
     
 

Text Clustering Algorithms

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Results 1 - 10 of about 13 for text clustering algorithms. Search took 0.12 seconds.

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What’s New in Microsoft SQL Server 2000

by M. Reed
... based on classification theory), and Clustering (based on the nearest neighbor method).
Third party algorithms are also supported. Full Text Search: The ...
http:/.../Research/ResearchHighlights/DataWarehousing/2000/06/research_notes/PN_DW_MFR_06_21_00_1.asp - 21k - 2000-06-21
Summary: SQL Server 2000, the next major release of SQL Server 7, is Microsoft’s SQL 7 release of its database both re-architected and re-written. Microsoft has high hopes for the latest version in a market that was worth $8 Billion in 1999, an 18% increase over 1998. What remains to be seen is whether it will

The Truth about Data Mining

by Anna Mallikarjunan
... clustering, and embedded algorithms for high performance and scalability. In addition
to a wide range of mining algorithms, SPSS offers Web mining and text ...
http:/.../ResearchHighlights/BusinessIntelligence/2009/06/research_notes/TU_BI_AM_06_19_09_1.asp - 23k - 2009-06-19
Summary: It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

Predictive Analytics; the Future of Business Intelligence

by Mukhles Zaman
... variables; it includes clustering, decision trees, market basket analysis, regression
modeling, neural nets, genetic algorithms, text mining, hypothesis testing ...
http:/.../ResearchHighlights/BusinessIntelligence/2005/12/research_notes/TU_BI_XMZ_12_24_05_1.asp - 27k - 2005-12-24
Summary: Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to predictive analytics, and predictive analytics is emerging as a distinct new software sector.

Using Predictive Analytics within Business Intelligence: A Primer

by TEC Analysts
... variables, including clustering, decision trees, market basket analysis, regression
modeling, neural nets, genetic algorithms, text mining, hypothesis testing ...
http:/.../ResearchHighlights/BusinessIntelligence/2006/06/research_notes/TU_BI_TA_06_15_06_1.asp - 17k - 2006-06-15
Summary: What are predictive analytics, and how are they used within business intelligence applications and for business performance management?

Using Predictive Analytics within Business Intelligence: A Primer

by TEC Analysts
... variables, including clustering, decision trees, market basket analysis, regression
modeling, neural nets, genetic algorithms, text mining, hypothesis testing ...
http:/.../ResearchHighlights/BusinessIntelligence/2009/09/research_notes/TU_BI_TA_09_11_09_1.asp - 17k - 2009-09-11
Summary: What are predictive analytics, and how are they used within business intelligence applications and for business performance management?

Analyse This

by Kevin Ramesan
... more and more leveraging faster processing speeds, more complex algorithms, and
existing ... such as neural networks, rule induction, and clustering to discover ...
http:/.../Research/ResearchHighlights/Erp/2003/07/research_notes/TU_ER_KR_07_23_03_1.asp - 14k - 2003-07-23
Summary: Enterprise applications have long been providing the means for businesses to collect required data and deliver it to the right people. Now that sales and marketing professionals are empowered with the right tools to better serve their customers and gather insights on all customers' interactions, the ques

Retail Market Dynamics for Software Vendors Part One: Software ...

by P.J. Jakovljevic
... management, enhanced by price and markdown optimization engines (algorithms) with
near, real ... data along with multiple-levels of store space clustering and zone ...
http:/.../Research/ResearchHighlights/Erp/2004/09/research_notes/TU_ER_PJ_09_13_04_1.asp - 15k - 2004-09-13
Summary: Although the retail and wholesale customers have typically invested a low proportion of their total revenues in information technology, retail industry leaders have begun to demonstrate an ability to achieve market advantage through the effective use of specialized enterprise applications. As a result, t

BI Software Comparison / BI Software Evaluation

... Alerted Alerting Alerts Algorithm Algorithms Aligned All ... Closed-Loop Closure Cluster
Clustering Clusters Co ... Termination Territory Testing Text Textiles Tga ...
http://bi.technologyevaluation.com/business-intelligence/ - 27k - 2009-04-17
Summary: Compare Business Intelligence Software : Discover the 7 key modules to base your selection on and tools you must use in order to save up to 85% of time and money you'd spend gathering information on your own : Reporting and Analysis, Analytics, Data Warehousing, Workflow, Data Integration, Support, Syste

BI/Business Performance Management (BPM) Selection

... Alert-Driven Alerting Alerts Algorithm Algorithms Aligned Aligns ... Clinical
Closed-Loop Cluster Clustering Clusters Co ... Terms Test Testing Tests Text Textual ...
http://bi.technologyevaluation.com/ - 30k - 2009-04-17
Summary: Compare Business Performance Management Software : Discover the 6 key modules to base your selection on and tools you must use in order to save up to 85% of time and money you'd spend gathering information on your own : Data Visualization, Analytics, Workflow, Data Integration, Support, System Requiremen

BI Software Comparison / BI Software Evaluation

... ins for customers who designed algorithms for calculating ... uses event correlation,
clustering, association analysis ... structured and unstructured text documents, e ...
http://bi.technologyevaluation.com/business-intelligence/ - 84k - 2009-08-28
Summary: Compare Business Intelligence Software: Discover the 7 key modules to base your selection on and tools you must use in order to save up to 85% of time and money you'd spend gathering information on your own : Reporting and Analysis, Analytics, Data Warehousing, Workflow, Data Integration, Support, System

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