It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Web Mining defines as extracting knowledge from web. Its types are web uses mining, web content mining, and web structured mining. Each category requires handling the issues of heterogeneous behaviour of web data. This paper will focus on the issues of web data, web mining and its applications. The detailed architecture of web warehouse is also proposed. Each component of architecture requires more exploration and research. As well as paper describe Knowledge as a Service (KAAS) and Web Warehousing as a Service (WWAAS) as web mining applications with cloud computing. The implementation of web warehouse as KAAS and WWAAS with cloud computing is proposed as future extension of this work.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer