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Titlebook: Discovery Science; 9th International Co Ljup?o Todorovski,Nada Lavra?,Klaus P. Jantke Conference proceedings 2006 Springer-Verlag Berlin He

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發(fā)表于 2025-3-21 18:00:54 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Discovery Science
副標題9th International Co
編輯Ljup?o Todorovski,Nada Lavra?,Klaus P. Jantke
視頻videohttp://file.papertrans.cn/282/281044/281044.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Discovery Science; 9th International Co Ljup?o Todorovski,Nada Lavra?,Klaus P. Jantke Conference proceedings 2006 Springer-Verlag Berlin He
描述The 9th International Conference on Discovery Science (DS 2006) was held in Barcelona, Spain, on 7–10 October 2006. The conference was collocated with the 17th International Conference on Algorithmic Learning Theory (ALT 2006). The two conferences shared the invited talks. This LNAI volume, containing the proceedings of the 9th International C- ference onDiscoveryScience, is structured in three parts. The ?rstpart contains the papers/abstracts of the invited talks, the second part contains the accepted long papers, and the third part the accepted regular (short) papers. Out of 87 submitted papers, 23 were accepted for publication as long papers, and 18 as regular papers. All the submitted papers were reviewed by two or three ref- ees. In addition to the presentations of accepted papers, the DS 2006 conference program consisted of three invited talks, two tutorials, the collocated ALT 2006 conference and the Pascal Dialogues workshop. We wish to express our gratitude to – the authors of submitted papers, – the program committee and other referees for their thorough and timely paper evaluation, – DS 2006 invited speakers Carole Goble and Padhraic Smyth, as well as - drew Ng as joint
出版日期Conference proceedings 2006
關(guān)鍵詞algorithms; knowledge discovery; learning; learning theory; machine learning; science; scientific discover
版次1
doihttps://doi.org/10.1007/11893318
isbn_softcover978-3-540-46491-4
isbn_ebook978-3-540-46493-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

書目名稱Discovery Science影響因子(影響力)




書目名稱Discovery Science影響因子(影響力)學(xué)科排名




書目名稱Discovery Science網(wǎng)絡(luò)公開度




書目名稱Discovery Science網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Discovery Science被引頻次




書目名稱Discovery Science被引頻次學(xué)科排名




書目名稱Discovery Science年度引用




書目名稱Discovery Science年度引用學(xué)科排名




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https://doi.org/10.1007/978-3-642-78192-6 the classification maps of time-series local spatial association that present the history of changing regions in clusters. The feasibility of the proposed method is tested by a case study on the rate of land price fluctuation of 232 administrative units in Korea, 1995-2004.
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Classification of Changing Regions Based on Temporal Context in Local Spatial Association the classification maps of time-series local spatial association that present the history of changing regions in clusters. The feasibility of the proposed method is tested by a case study on the rate of land price fluctuation of 232 administrative units in Korea, 1995-2004.
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https://doi.org/10.1007/978-3-8350-9596-0ing to facilitate sharing and reuse, better enabling computers and people to work in cooperation. Applying the Semantic Web paradigm to e-Science has the potential to bring significant benefits to scientific discovery. We identify the benefits of lightweight and heavyweight approaches, based on our experiences in the Life Sciences.
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