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519.25 --- Statistical data handling --- 519.25 Statistical data handling

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forests --- Donnée statistique --- world --- statistical data

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We are delighted to welcome you to the 8th ACM International Conference on Web Search and Data Mining (WSDM 2015), held in Shanghai, China, from Jan. 31 to Feb. 6, 2015. As in the previous years, WSDM continues to be a leading forum for reporting the latest research developments in the field. We are pleased to present here the proceedings of the conference. We received a total of 238 submissions, out of which 39 were accepted for publication in the proceedings, thus reaching an acceptance rate of 16.4% (compared to 18% last year). The accepted papers are from 44 institutions in 16 countries, making WSDM a truly international forum. This year, oral presentation slots were allocated to all papers. Yet, in order to maintain the single track model that most attendees prefer, we introduced this year short 10-minute presentations. Out of the 39 accepted papers, 18 were assigned such shorter slots, while 21 were assigned longer 20-minute slots. The type of slot was chosen by the Senior PC members and Program Chairs, based on whether the topic and the content of the paper would appeal to a broad group of conference attendees. In addition to oral presentations, authors of all accepted papers were invited to present their work in an interactive poster session. We would like to acknowledge the tremendous work of the 28 Senior Program Committee members, 220 Program Committee members, and 41 additional reviewers. The credit for creating a high quality technical program goes to them. To recognize the hard work of the best reviewers, which rarely makes it to the public limelight, this year we created Outstanding Reviewer Awards. 3 members of the Senior Program Committee and 27 members of the Program Committee received these awards. The technical program this year featured keynotes by prominent researchers from the industry and academia, Lada Adamic (Facebook), Michael Franklin (UC Berkeley), and Thorsten Joachims (Cornell University). We thank the keynote speakers for their illuminating talks and for sharing their insights and wisdom with the conference attendees. The program also featured 5 Practice & Experience talks, which were introduced for the first time at WSDM'14. These were presented by Tushar Chandra (Google), Rong Jin (Baidu), Jure Leskovec (Stanford), Kaihua Zhu (Baidu), and Juchao Zhuo (Tencent). We thank the P&E speakers for taking the time off their busy schedules to attend the conference and share their experience in applying recent research results in industrial settings.

Data mining --- Statistical methods. --- Statistical data mining

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Get to grips with a new technology, understand what it is and what it can do for you, and then get to work with the most important features and tasks.A practical, quick, and hands-on guide to the R language.This book is for people who are interested in an introduction to the R environment. You will not need any specific knowledge of programming or statistics, although if you are already familiar with any other software for statistical computing or data handling you will definitely learn much faster. If you are interested in going beyond ""Hello World!"" with R but don't know how to start, then

R (Computer program language). --- Statistical data --- analysis.

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Mathematical statistics --- Statistics --- 519.25 --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Statistical data handling --- 519.25 Statistical data handling