Machine-learning the business: Using data mining for competitive intelligence
✍ Scribed by Jesus Mena
- Publisher
- John Wiley and Sons
- Year
- 1996
- Weight
- 590 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1058-0247
No coin nor oath required. For personal study only.
✦ Synopsis
Data mining" and "data warehouses" are ways of applying artificial intelligence to create competitive intelligence. Induction-based data mining software uses machine-learning algorithms to analyze records in a firm's internal and customer databases, discovering patterns, transactional relationships, and rules that can predict future trends and indicate competitive opportunities. Raw data thus transformed is maintained in a data warehouse, providing support for a variety of analytical tasks and competitive decisions. As a result, questions that traditionally required extensive trial-and-error queries or statistical segmenting can be answered automatically. Since the machine-learning algorithms can i d e n w key intervals (ranges) and attributes (variables) in a database, they can compress a database so that only a few attributes are needed to derive predictive intelligence. Recent studies indicate data mining technology will have a major impact across a wide range of industries within the next three to five years. A table is provided of data mining products with vendor names, phone numbers, and Internet addresses. o 1996 john W i e y & Sons. ~n r .
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