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Book synopsis

Retrieving the required information to troubleshoot a particular problem from a Case-base (Knowledge Management System database), containing conceptual and highly technical information can be a challenging task for an inexperienced person. Conventional matching algorithms give a bigger set of matched results that may contain irrelevant cases. This may cause difficulty for an inexperienced person to distinguish between the relevant and non-relevant information. This book presents an enhanced method for retrieval of stored semiconductor process engineering problems and the corresponding solutions. This textbook is focused on the retrieval of wire-bond (WB) related knowledge (in Semi-Conductor Industry)on the Case based reasoning platform, with Unsupervised Learning Neural network - SOM (Self Organizing maps) technique.

Book details

• Full title: Relevancy in Knowledge Retrieval with a Data-mining technique
• Author: Vishweshwar Kallimani, Dino Isa
• Language: English
• Binding: Paperback
• Number of pages: 120
• EAN: 9783659892110
• ID: 13798535
• Publisher: LAP Lambert Academic Publishing
• Weight: 195 g
• Dimensions: 220 × 150 × 8 mm
• Published: 2016

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