| 書目名稱 | Data Warehousing and Knowledge Discovery | | 副標(biāo)題 | 10th International C | | 編輯 | Il-Yeol Song,Johann Eder,Tho Manh Nguyen | | 視頻video | http://file.papertrans.cn/264/263207/263207.mp4 | | 叢書名稱 | Lecture Notes in Computer Science | | 圖書封面 |  | | 描述 | Data Warehousing and Knowledge Discovery have been widely accepted as key te- nologies for enterprises and organizations as a means of improving their abilities in data analysis, decision support, and the automatic extraction of knowledge from data. With the exponentially growing amount of information to be included in the decision making process, the data to be processed is becoming more and more complex in both structure and semantics. Consequently, the process of retrieval and knowledge disc- ery from this huge amount of heterogeneous complex data constitutes the reality check for research in the area. During the past few years, the International Conference on Data Warehousing and Knowledge Discovery (DaWaK) has become one of the most important international scientific events to bring together researchers, developers and practitioners. The DaWaK conferences serve as a prominent forum for discussing the latest research issues and experiences in developing and deploying data warehousing and knowledge discovery systems, applications, and solutions. This year’s conference, the 10th Int- national Conference on Data Warehousing and Knowledge Discovery (DaWaK 2008), continued the tradi | | 出版日期 | Conference proceedings 2008 | | 關(guān)鍵詞 | Clustering; classification; data mining; data warehouse; knowledge; knowledge discovery; learning; machine | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-85836-2 | | isbn_softcover | 978-3-540-85835-5 | | isbn_ebook | 978-3-540-85836-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2008 |
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