| 書(shū)目名稱 | New Frontiers in Applied Data Mining |
| 副標(biāo)題 | PAKDD 2011 Internati |
| 編輯 | Longbing Cao,Joshua Zhexue Huang,Jun Luo |
| 視頻video | http://file.papertrans.cn/666/665235/665235.mp4 |
| 概述 | State-of-the-art research.Fast-track conference proceedings.Unique visibility |
| 叢書(shū)名稱 | Lecture Notes in Computer Science |
| 圖書(shū)封面 |  |
| 描述 | This book constitutes the thoroughly refereed post-conference proceedings of five international workshops held in conjunction with PAKDD 2011 in Shenzhen, China, in May 2011: the International Workshop on Behavior Informatics (BI 2011), the Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE 2011), the Workshop on Biologically Inspired Techniques for Data Mining (BDM 2011), the Workshop on Advances and Issues in Traditional Chinese Medicine Clinical Data Mining (AI-TCM 2011), and the Second Workshop on Data Mining for Healthcare Management (DMGHM 2011). The book also includes papers from the First PAKDD Doctoral Symposium on Data Mining (DSDM 2011). The?42 papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics discussing emerging techniques in the field of knowledge discovery in databases and their application domains extending to previously unexplored areas such as data mining based on optimization techniques from biological behavior of animals and applications in Traditional Chinese Medicine clinical research and health care management. |
| 出版日期 | Conference proceedings 2012 |
| 關(guān)鍵詞 | cloud computing; genetic network programming; memetic algorithm; particle swarm optimization; recommende |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-28320-8 |
| isbn_softcover | 978-3-642-28319-2 |
| isbn_ebook | 978-3-642-28320-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag GmbH Berlin Heidelberg 2012 |
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-20 02:26
發(fā)表于 2025-3-21 16:07:52
