| SIGKDD Camera-Ready Guidelines (2007) | |||||||||||||||
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| The continuing rapid growth of on-line data and the widespread use of databases necessitate the development of techniques for extracting useful knowledge and for facilitating database access. The challenge of extracting knowledge from data is of common interest to several fields, including statistics, databases, pattern recognition, machine learning, data visualization, optimization, and high-performance computing. KDD-99 will focus on techniques, applications, and experiences, bringing together researchers and practitioners. Starting this year, the KDD series will represent the annual conferences of the newly formed SIGKDD--the ACM Special Interest Group on Knowledge Discovery and Data Mining. 1 Formatting Instructions The file sigkdd.sty is the style file for producing the two-column camera-ready documents that will be included in the SIGKDD proceedings. This style file is a simplified version of the style file that is suggested by ACM for ACM conferences. You can access ACM's styl... | |||||||||||||||
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