Enterprise Decision Management

James Taylor has changed the EDM (Enterprise Decision Management) to a new URL. Jim is an expert in the field so I decided to let everyone know the new link: the primary URL for the EDM blog is www.edmblog.com

Artificial Intelligence II

Everything you wanted to know (more or less) but were afraid to ask. It is not complete and not perfect, but it will help you navigate some concepts. Good for beginners.
Read: http://www.resultspk.net/artificial_intelligence/

Artificial intelligence applied to network load balancing using Ant Colony Optimisation

Good potential solution of using a genetic algorithm to network load balancing issues. Read: http://www.codeproject.com/useritems/Ant_Colony_Optimisation.asp

Eleventh International Conference on Computer Aided Systems Theory

Date: February 12-16, 2007

Looks good!

http://www.iuctc.ulpgc.es/spain/eurocast2007/workshop.html

Segregative Genetic Algorithms (SEGA): A Hybrid Superstructure

This sounds like a robust and efficient solution for the issue of premature convergence (the child is no better than the parent) in genetic algorithms.
http://www.heuristiclab.com/publications/papers/affenzeller01d.pdf

Genetic algorithm-based optimization design methods; mimicking nature

Genetic algorithms work in decisigning enterprise decision management systems, data mining, and artificial intelligence, but you must know what you are doing since you will not be able to pick one off the shelves!
Read: http://smarteconomy.typepad.com/smart_economy/2006/05/genetic_algorit.html

Math Grid Toolkit brings grid computing to business

read: http://www.macworld.com/news/2006/07/20/mgt/index.php?lsrc=mwrss

Search Engine Optimization and Semantics: Index Content Not Keywords

If you are in the data mining or artificial intelligence fields this is important, please read.
Read: http://www.isedb.com/db/articles/1491/

SPARQL Query Language for RDF

The future language of the web. Data mining and artificial intelligence through the web.
Read: http://www.w3.org/TR/rdf-sparql-query/

Google exec challenges Berners-Lee

Is Semantic Web the future? Yes it is. Are there some serious issues (like deception) that must be deal with? Yes
Read: http://nundesign.blogspot.com/2006/07/google-exec-challenges-berners-lee.html

The Uninvited Guest: Patents on Wall Street

For companies in the financial services (banking, investment banking, stock brokerage firms,
and the like) and healthcare industries understanding the case of State Street Bank & Trust Co. v. Signature Financial Group, Inc. is a keystone when developing products that are based on data mining and artificial intelligence technologies.
Read: http://www.frbatlanta.org/filelegacydocs/erq403_merges.pdf

Strategic Technology Planning: Picking the Winners

The fundamentals of strategic technology planning for CIOs and CEOs (and other C-level executive management).
Read: http://www.cata.ca/files/PDF/Resource_Centres/hightech/reports/indepstudies/StrategicTechnologyPlanningPickingtheWinners.pdf

Data Mining for Network Intrusion Detection

This paper provides good information for those looking for data mining techniques to detect novel and unknown attacks to their networks.
Read: http://scholar.google.com/scholar?hl=en&lr=&q=cache:cU5cnHJrw2kJ:www-users.cs.umn.edu/~kumar/papers/nsf_ngdm_2002.pdf+mahalanobis+%22data+mining%22

CRM Data Mining: Methods

This very good article is a comparison of data mining neural networks techniques in CRM vis-a-vis CHAID (Chi-Square Automatic Interaction Detection). The core of the article is that while neural nets set of rules are obscure CHAID have an understandable set of rules. Moreover, the implementation appears to be easier too.
Read: http://scholar.google.com/scholar?hl=en&lr=&scoring=r&q=cache:1e03s57-wVgJ:chern.ie.nthu.edu.tw/IEEM7103/923834-paper-1-june21.pdf+%22chi+square%22+%22data+mining%22

A Fast Clustering Algorithm for Large Categorical Data Sets

This algorithm might be efficient (fast performance) for data mining when trying to cluster categorical (non-numerical) large data set.
Read: http://scholar.google.com/scholar?hl=en&lr=&q=cache:hPC_IAqQuWUJ:www.dmi.usherb.ca/~wang/teaching/winter_03/Huang_Categ_Clustering.pdf+%22chi+square%22+%22data+mining%22

The global k-means clustering algorithm

This sounds similar to the Microsoft method in SQL 2005 Analysis Services.
Read: http://scholar.google.com/scholar?hl=en&lr=&scoring=r&q=cache:eDwQfeAUuN0J:carol.science.uva.nl/~jverbeek/pub/global_kmeans_PR_verbeek.pdf++%22pattern+recognition%22+-language

Kurzweil develops PDA for the blind

Ray Kurzweil is on the forefront of practical applications for artificial intelligence and we are all thankful!
Read: http://jkontherun.blogs.com/jkontherun/2006/06/kurzweil_develo.html

If you do not know who Ray is, you must read: http://www.kurzweiltech.com/aboutray.html

High-tech prosthetics: Out on a limb

Here is a real-life application (which also integrates the rules of physics) of an artificial intelligence. Somehow I can see the prosthetics and the gaming industry providing crucial components to the artificial intelligence industry.
Read: http://news.com.com/2100-11393_3-6091189.html?part=rss&tag=6091189&subj=news

New IBM Mainframe Aims to Optimize Enterprise Resources

This tool is efficient because it separates the data warehousing from the data mining and business intelligence component. Although this may seem like a simple fact some companies do not understand the computing time and space that data mining techniques imposed upon their warehousing.
Read: http://www.ecommercetimes.com/rsstory/51099.html

INC Research Latest Organization to Partner with SAS in Life Science Industry

A good alternative when a company has multiple clients with multiple data formats that must converted to the same format before beginning the analysis.
Read: http://www.crm2day.com/news/crm/119051.php