| 书目名称 | Data Warehousing and Knowledge Discovery | | 副标题 | 12th International C | | 编辑 | Torben Bach Pedersen,Mukesh K. Mohania,A Min Tjoa | | 视频video | | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | Data warehousing and knowledge discovery has been widely accepted as a key te- nology 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 considered become more and more complex in both structure and semantics. New developments such as cloud computing add to the challenges with massive scaling, a new computing infrastructure, and new types of data. Consequently, the process of retrieval and knowledge discovery from this huge amount of heterogeneous complex data forms the litmus test for research in the area. In the last decade, the International Conference on Data Warehousing and Kno- edge Discovery (DaWaK) has become one of the most important international sci- tific events bringing together researchers, developers, and practitioners to discuss the latest research issues and experiences in developing and deploying data warehousing and knowledge discovery systems, applications, and solutions. th This year’s conference, the 12 International Conference on Data Warehousing an | | 出版日期 | Conference proceedings 2010 | | 关键词 | Business Intelligence; algorithms; business process intelligence; clustering; data cleansing; data mining | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-15105-7 | | isbn_softcover | 978-3-642-15104-0 | | isbn_ebook | 978-3-642-15105-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Heidelberg 2010 |
The information of publication is updating
|
|
发表于 2025-3-21 16:41:57
