Scientific Data Ranking Methods

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  • Author : Anonim
  • Publisher : Elsevier
  • Pages : 224 pages
  • ISBN : 9780080931937
  • Rating : /5 from reviews
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Download or Read online Scientific Data Ranking Methods full in PDF, ePub and kindle. this book written by Anonim and published by Elsevier which was released on 17 November 2008 with total page 224 pages. We cannot guarantee that Scientific Data Ranking Methods book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. This volume presents the basic mathematics of ranking methods through a didactic approach and the integration of relevant applications. Ranking methods can be applied in several different fields, including decision support, toxicology, environmental problems, proteomics and genomics, analytical chemistry, food chemistry, and QSAR. . Covers a wide range of applications, from the environment and toxicology to DNA sequencing . Incorporates contributions from renowned experts in the field . Meets the increasing demand for literature concerned with ranking methods and their applications

Scientific Data Ranking Methods

Scientific Data Ranking Methods
  • Author : Anonim
  • Publisher : Elsevier
  • Release : 17 November 2008
GET THIS BOOK Scientific Data Ranking Methods

This volume presents the basic mathematics of ranking methods through a didactic approach and the integration of relevant applications. Ranking methods can be applied in several different fields, including decision support, toxicology, environmental problems, proteomics and genomics, analytical chemistry, food chemistry, and QSAR. . Covers a wide range of applications, from the environment and toxicology to DNA sequencing . Incorporates contributions from renowned experts in the field . Meets the increasing demand for literature concerned with ranking methods and their applications

Multi indicator Systems and Modelling in Partial Order

Multi indicator Systems and Modelling in Partial Order
  • Author : Rainer Brüggemann,Lars Carlsen,Jochen Wittmann
  • Publisher : Springer Science & Business Media
  • Release : 12 November 2013
GET THIS BOOK Multi indicator Systems and Modelling in Partial Order

“Multi-indicator Systems and Modelling in Partial Order” contains the newest theoretical concepts as well as new applications or even applications, where standard multivariate statistics fail. Some of the presentations have their counterpart in the book; however, there are many contributions, which are completely new in the field of applied partial order.

Scientific and Statistical Database Management

Scientific and Statistical Database Management
  • Author : Judith Bayard Cushing,James French,Shawn Bowers
  • Publisher : Springer
  • Release : 01 July 2011
GET THIS BOOK Scientific and Statistical Database Management

This book constitutes the refereed proceedings of the 23rd International Conference on Scientific and Statistical Database Management, SSDBM 2011, held in Portland, OR, USA, in July 2011. The 26 long and 12 short papers presented together with 15 posters were carefully reviewed and selected from 80 submissions. The topics covered are ranked search; temporal data and queries; workflow and provenance; querying graphs; clustering and data mining; architectures and privacy; and applications and models.

Metric Methods for Analyzing Partially Ranked Data

Metric Methods for Analyzing Partially Ranked Data
  • Author : Douglas E. Critchlow
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOK Metric Methods for Analyzing Partially Ranked Data

A full ranking of n items is simply an ordering of all these items, of the form: first choice, second choice, •. . , n-th choice. If two judges each rank the same n items, statisticians have used various metrics to measure the closeness of the two rankings, including Ken dall's tau, Spearman's rho, Spearman's footrule, Ulam's metric, Hal1l11ing distance, and Cayley distance. These metrics have been em ployed in many contexts, in many applied statistical and scientific problems. Thi s

Handbook of Bibliometric Indicators

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  • Author : Roberto Todeschini,Alberto Baccini
  • Publisher : John Wiley & Sons
  • Release : 22 August 2016
GET THIS BOOK Handbook of Bibliometric Indicators

At last, the first systematic guide to the growing jungle of citation indices and other bibliometric indicators. Written with the aim of providing a complete and unbiased overview of all available statistical measures for scientific productivity, the core of this reference is an alphabetical dictionary of indices and other algorithms used to evaluate the importance and impact of researchers and their institutions. In 150 major articles, the authors describe all indices in strictly mathematical terms without passing judgement on their relative

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  • Author : Steven Brown,Roma Tauler,Beata Walczak
  • Publisher : Elsevier
  • Release : 26 May 2020
GET THIS BOOK Comprehensive Chemometrics

Comprehensive Chemometrics, Second Edition features expanded and updated coverage, along with new content that covers advances in the field since the previous edition published in 2009. Subject of note include updates in the fields of multidimensional and megavariate data analysis, omics data analysis, big chemical and biochemical data analysis, data fusion and sparse methods. The book follows a similar structure to the previous edition, using the same section titles to frame articles. Many chapters from the previous edition are updated, but

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  • Author : Jun Liu,Jie Lu,Yang Xu,Luis Martinez,Etienne E Kerre
  • Publisher : World Scientific
  • Release : 26 July 2018
GET THIS BOOK Data Science and Knowledge Engineering for Sensing Decision Support

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the foundations and the applications points-of-view.

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  • Author : Vincent Charles,Juan Aparicio,Joe Zhu
  • Publisher : Springer Nature
  • Release : 23 May 2020
GET THIS BOOK Data Science and Productivity Analytics

This book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of ‘productivity analysis/data envelopment analysis’ and ‘data science/big data’. Data science is defined as the collection of scientific methods, processes, and systems dedicated to extracting knowledge or insights from data and it develops on concepts from various domains, containing mathematics and statistical methods, operations research, machine learning, computer programming, pattern recognition, and data visualisation,

Soft Methods for Data Science

Soft Methods for Data Science
  • Author : Maria Brigida Ferraro,Paolo Giordani,Barbara Vantaggi,Marek Gagolewski,María Ángeles Gil,Przemysław Grzegorzewski,Olgierd Hryniewicz
  • Publisher : Springer
  • Release : 30 August 2016
GET THIS BOOK Soft Methods for Data Science

This proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy). The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It shows how Data science employs various programming techniques and methods of data wrangling, data visualization, machine learning, probability and statistics. The soft methods proposed in this

Research Analytics

Research Analytics
  • Author : Francisco J. Cantu-Ortiz
  • Publisher : CRC Press
  • Release : 25 October 2017
GET THIS BOOK Research Analytics

The growth of machines and users of the Internet has led to the proliferation of all sorts of data concerning individuals, institutions, companies, governments, universities, and all kinds of known objects and events happening everywhere in daily life. Scientific knowledge is not an exception to the data boom. The phenomenon of data growth in science pushes forth as the number of scientific papers published doubles every 9–15 years, and the need for methods and tools to understand what is reported in

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Data Science
  • Author : Pinle Qin
  • Publisher : Springer Nature
  • Release : 25 September 2021
GET THIS BOOK Data Science

This two volume set (CCIS 1257 and 1258) constitutes the refereed proceedings of the 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020 held in Taiyuan, China, in September 2020. The 98 papers presented in these two volumes were carefully reviewed and selected from 392 submissions. The papers are organized in topical sections: database, machine learning, network, graphic images, system, natural language processing, security, algorithm, application, and education.

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Quantum Nanochemistry  Volume Five
  • Author : Mihai V. Putz
  • Publisher : CRC Press
  • Release : 27 April 2016
GET THIS BOOK Quantum Nanochemistry Volume Five

Volume 5 of the 5-volume Quantum Nanochemistry focuses on modeling and predicting of the enzyme kinetics and quantitative structure-activity relationships. It reveals the quantum implications to bio-organic and bio-inorganic systems, to enzyme kinetics, and to pharmacophore binding sites of chemical-biological interaction of molecules through cell membranes in targeting specific bindings modeled by celebrated QSARs (Quantitative Structure-Activity Relationships) here reshaped as Qu-SAR (Quantum Structure-Activity Relationships).