Relevancy in Knowledge Retrieval with a Data-mining technique

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.