By Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo
This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed complaints of the ecu convention on computing device studying and information Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The one hundred fifteen revised learn papers offered including thirteen demo song papers, 10 nectar music papers, eight PhD song papers, and nine invited talks have been conscientiously reviewed and chosen from 550 submissions. The papers conceal the most recent top of the range interdisciplinary learn ends up in all components with regards to computing device studying and data discovery in databases.
Read Online or Download Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I PDF
Best data mining books
Attempt to think a railway community that didn't payment its rolling inventory, song, and signs at any time when a failure happened, or merely chanced on the whereabouts of its lo comotives and carriages in the course of annual inventory taking. simply think a railway that saved its trains ready simply because there have been no on hand locomotives.
Substantial facts of advanced Networks offers and explains the tools from the research of huge facts that may be utilized in analysing enormous structural facts units, together with either very huge networks and units of graphs. in addition to using statistical research options like sampling and bootstrapping in an interdisciplinary demeanour to supply novel strategies for examining titanic quantities of knowledge, this publication additionally explores the chances provided by means of the distinct facets equivalent to machine reminiscence in investigating huge units of complicated networks.
This ebook constitutes the refereed court cases of the tenth Metadata and Semantics study convention, MTSR 2016, held in Göttingen, Germany, in November 2016. The 26 complete papers and six brief papers awarded have been conscientiously reviewed and chosen from sixty seven submissions. The papers are prepared in different classes and tracks: electronic Libraries, details Retrieval, associated and Social info, Metadata and Semantics for Open Repositories, examine details platforms and knowledge Infrastructures, Metadata and Semantics for Agriculture, nutrition and atmosphere, Metadata and Semantics for Cultural Collections and purposes, eu and nationwide initiatives.
This is often the 1st textbook on characteristic exploration, its concept, its algorithms forapplications, and a few of its many attainable generalizations. characteristic explorationis valuable for buying dependent wisdom via an interactive technique, byasking queries to knowledgeable. Generalizations that deal with incomplete, defective, orimprecise information are mentioned, however the concentration lies on wisdom extraction from areliable info resource.
- Pro Apache Hadoop (2nd Edition)
- Knowledge Representation for Health-Care. Data, Processes and Guidelines: AIME 2009 Workshop KR4HC 2009, Verona, Italy, July 19, 2009, Revised Selected ...
- Big Data Analytics: Third International Conference, BDA 2014, New Delhi, India, December 20-23, 2014. Proceedings
- Data Mining: The Textbook
- Multilabel Classification : Problem Analysis, Metrics and Techniques
- Frontiers in Massive Data Analysis
Extra resources for Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I
Cong Leng, Jian Cheng, Ting Yuan, Xiao Bai, and Hanqing Lu 177 Conic Multi-task Classiﬁcation . . . . . . . . . . . . . . . . . . Cong Li, Michael Georgiopoulos, and Georgios C. Anagnostopoulos 193 Bi-directional Representation Learning for Multi-label Classiﬁcation . . Xin Li and Yuhong Guo 209 Optimal Thresholding of Classiﬁers to Maximize F1 Measure . . . . . Zachary C. Lipton, Charles Elkan, and Balakrishnan Naryanaswamy 225 Randomized Operating Point Selection in Adversarial Classiﬁcation .
Nada Lavraˇc, Matic Perovˇsek, and Anˇze Vavpetiˇc Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets . . . . . . . . . . . . . . . . . . . . . Uli Niemann, Myra Spiliopoulou, Henry V¨ olzke, and Jens-Peter K¨ uhn WebDR: A Web Workbench for Data Reduction . . . . . . . . . . . 0: A Tool for Grammar-Based Pattern Discovery in Time Series . . . . . . . . . . . . . . . . . . .
Vladan Radosavljevic, Slobodan Vucetic, and Zoran Obradovic Cutset Networks: A Simple, Tractable, and Scalable Approach for Improving the Accuracy of Chow-Liu Trees . . . . . . . . . . . . . Tahrima Rahman, Prasanna Kothalkar, and Vibhav Gogate Boosted Mean Shift Clustering . . . . . . . . . . . . . . . . . . Yazhou Ren, Uday Kamath, Carlotta Domeniconi, and Guoji Zhang Hypernode Graphs for Spectral Learning on Binary Relations over Sets . . . . . .