| 書目名稱 | Data Warehousing and Knowledge Discovery | | 副標(biāo)題 | 9th International Co | | 編輯 | Il Yeal Song,Johann Eder,Tho Manh Nguyen | | 視頻video | http://file.papertrans.cn/264/263205/263205.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 to improve 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 become more and more complex in both structure and semantics. Consequently, the process of retrieval and knowledge discovery 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 bringing together researchers, developers and practitioners. The DaWaK conferences served as a prominent forum for discussing latest research issues and experiences in developing and deploying data warehousing and knowledge d- covery systems, applications, and solutions. This year’s conference, the Ninth Inter- tional Conference on Data Warehousing and Knowledge Discovery (DaWaK 2007), built on this tradition of facilitating | | 出版日期 | Conference proceedings 2007 | | 關(guān)鍵詞 | LA; OLAP; On-Line Analytical Processing; classification; data warehouse; knowledge discovery; ontology; ser | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-74553-2 | | isbn_softcover | 978-3-540-74552-5 | | isbn_ebook | 978-3-540-74553-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2007 |
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