縮小範圍

商品類型

原文書（19）

商品狀況

可訂購商品（19）

庫存狀況

無庫存（19）

商品定價

$800以上（19）

出版日期

2018~2019 （1）

2016~2017 （2）

2016年以前（16）

裝訂方式

平裝（19）

作者

Adalbert F. X. Wilhelm (EDT)/ Hans Kestler (EDT) （1）

Andreas Fink (EDT)/ Berthold Lausen (EDT)/ Wilfried Seidel (EDT)/ Alfred Ultsch (EDT) （1）

Antonio Giusti (EDT)/ Gunter Ritter (EDT)/ Maurizio Vichi (EDT) （1）

Bernard Fichet (EDT)/ Domenico Piccolo (EDT)/ Rosanna Verde (EDT)/ Maurizio Vichi (EDT) （1）

Berthold Lausen (EDT)/ Dirk Van Den Poel (EDT)/ Alfred Ultsch (EDT) （1）

出版社/品牌

Springer Verlag （11）

Springer-Verlag New York Inc （6）

Textstream （2）

三民網路書店 / 搜尋結果

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關閉

共19筆商品，1/1頁

Data Analysis, Machine Learning and Applications ─ Proceedings of the 31st Annual Conference of the Gesellschaft Fur Klassifikation e.V., Albert-ludwigs-universitst Freiburg, March 7-9, 2007

出版社：Textstream 出版日：2008/07/04 裝訂：平裝

Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can b

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Analysis of Symbolic Data ― Exploratory Methods for Extracting Statistical Information from Complex Data

作者：Hans Hermann Bock (EDT); E. Diday (EDT) 出版社：Springer Verlag 出版日：2000/01/01 裝訂：平裝

This book presents the most recent methods for analyzing and visualizing symbolic data. It generalizes classical methods of exploratory, statistical and graphical data analysis to the case of complex

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Between Data Science and Applied Data Analysis ― Proceedings of the 26th Annual Conference of the Gesellschaft Fur Klassifikation E.V., University of Mannheim, July 22-24, 2002

作者：Martin Schader (EDT); Wolfgang Gaul (EDT); Maurizio Vichi 出版社：Springer-Verlag New York Inc 出版日：2003/09/01 裝訂：平裝

The volume presents new developments in data analysis and classification and gives an overview of the state of the art in these scientific fields and relevant applications. Areas that receive consider

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Data Analysis, Machine Learning and Knowledge Discovery

作者：Myra Spiliopoulou (EDT); Lars Schmidt-thieme (EDT); Ruth Janning (EDT) 出版社：Springer-Verlag New York Inc 出版日：2013/12/09 裝訂：平裝

Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and

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Classification As a Tool for Research ─ Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft fur Klassifikation e.V., Dresden, March 13-18, 2009

作者：Hermann Locarek-junge (EDT); Claus Weihs (EDT) 出版社：Springer Verlag 出版日：2010/10/01 裝訂：平裝

Clustering and Classification, Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of statistics, mathematics, computer science and artificial intelligence. T

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Advances in Multivariate Data Analysis ─ Proceedings of the Meeting of the Classification and Data Analysis Group Cladag of the Italian Statistical Society, University of Palermo, July 5-6, 2

作者：Marcello Chiodi; Antonino Mineo (EDT); Hans Hermann Bock; Antonino Mineo 出版社：Springer Verlag 出版日：2004/10/30 裝訂：平裝

The book presents a range of new developments in the theory and practice of multivariate statistical data analysis. Several contributions illustrate the use of multivariate methods in application fiel

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Algorithms from and for Nature and Life ― Classification and Data Analysis

作者：Berthold Lausen (EDT); Dirk Van Den Poel (EDT); Alfred Ultsch (EDT) 出版社：Springer-Verlag New York Inc 出版日：2013/04/30 裝訂：平裝

This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operation

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Statistical Models for Data Analysis

作者：Paolo Giudici (EDT); Salvatore Ingrassia (EDT); Maurizio Vichi (EDT) 出版社：Springer Verlag 出版日：2013/05/31 裝訂：平裝

The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contai

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Data Science and Social Research ― Epistemology, Methods, Technology and Applications

作者：N. Carlo Lauro (EDT); Enrica Amaturo (EDT); Maria Gabriella Grassia (EDT); Biagio Aragona (EDT); Marina Marino (EDT) 出版社：Springer Verlag 出版日：2017/11/18 裝訂：平裝

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents

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10.

Classification, Big Data Analysis and Statistical Learning

作者：Francesco Mola (EDT); Claudio Conversano (EDT); Maurizio Vichi (EDT) 出版社：Springer Verlag 出版日：2018/02/22 裝訂：平裝

This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data

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11.

German-Japanese Interchange of Data Analysis Results

作者：Wolfgang Gaul (EDT); Andreas Geyer-Schulz (EDT); Yasumasa Baba (EDT); Akinori Okada (EDT) 出版社：Springer-Verlag New York Inc 出版日：2013/11/18 裝訂：平裝

This volume focuses on innovative approaches and recent developments in clustering, analysis of data and models, and applications: The first part of the book covers a broad range of innovations in the

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12.

Advances in Statistical Models for Data Analysis

作者：Isabella Morlini (EDT); Tommaso Minerva (EDT); Maurizio Vichi (EDT) 出版社：Springer Verlag 出版日：2015/09/14 裝訂：平裝

?This volume presents new research results in data analysis and statistical modelling and offers a wealth of applications in areas such as economics and finance, education, social sciences, environmen

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13.

Classification - the Ubiquitous Challenge ─ Proceedings of the 28th Annual Conference of the Gesellschaft F Klassifikation e.V. University of Dortmund, March 9-11, 2004

作者：Claus Weihs; Wolfgang Gaul (EDT); Wolfgang Gaul 出版社：Springer Verlag 出版日：2005/10/05 裝訂：平裝

The contributions in this volume represent the latest research results in the field of Classification, Clustering, and Data Analysis. Besides the theoretical analysis, papers focus on various applicat

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14.

Classification, Clustering, and Data Analysis—Recent Advances and Applications

作者：K. Jajuga (EDT); Andrzej Sokoowski; Hans Hermann Bock 出版社：Springer Verlag 出版日：2002/11/01 裝訂：平裝

The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as fo

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15.

Advances in Data Analysis, Data Handling and Business Intelligence

作者：Andreas Fink (EDT); Berthold Lausen (EDT); Wilfried Seidel (EDT); Alfred Ultsch (EDT) 出版社：Springer-Verlag New York Inc 出版日：2010/01/03 裝訂：平裝

Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and

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02-25006600[分機130、131]。

無法訂購

16.

Classification and Multivariate Analysis for Complex Data Structures

作者：Bernard Fichet (EDT); Domenico Piccolo (EDT); Rosanna Verde (EDT); Maurizio Vichi (EDT) 出版社：Textstream 出版日：2011/03/30 裝訂：平裝

The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to disco

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17.

Analysis and Modeling of Complex Data in Behavioral and Social Sciences

作者：Donatella Vicari (EDT); Akinori Okada (EDT); Giancarlo Ragozini (EDT); Claus Weihs (EDT) 出版社：Springer Verlag 出版日：2014/07/21 裝訂：平裝

This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and inve

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18.

Analysis of Large and Complex Data

作者：Adalbert F. X. Wilhelm (EDT); Hans Kestler (EDT) 出版社：Springer-Verlag New York Inc 出版日：2016/08/04 裝訂：平裝

This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theore

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19.

Classification and Data Mining

作者：Antonio Giusti (EDT); Gunter Ritter (EDT); Maurizio Vichi (EDT) 出版社：Springer Verlag 出版日：2012/10/31 裝訂：平裝

?????????This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clev

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共19 筆
1 頁

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縮小範圍

三民網路書店 / 搜尋結果

搜尋條件

Data Analysis, Machine Learning and Applications ─ Proceedings of the 31st Annual Conference of the Gesellschaft Fur Klassifikation e.V., Albert-ludwigs-universitst Freiburg, March 7-9, 2007

Analysis of Symbolic Data ― Exploratory Methods for Extracting Statistical Information from Complex Data

Between Data Science and Applied Data Analysis ― Proceedings of the 26th Annual Conference of the Gesellschaft Fur Klassifikation E.V., University of Mannheim, July 22-24, 2002

Data Analysis, Machine Learning and Knowledge Discovery

Classification As a Tool for Research ─ Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft fur Klassifikation e.V., Dresden, March 13-18, 2009

Advances in Multivariate Data Analysis ─ Proceedings of the Meeting of the Classification and Data Analysis Group Cladag of the Italian Statistical Society, University of Palermo, July 5-6, 2

Algorithms from and for Nature and Life ― Classification and Data Analysis

Statistical Models for Data Analysis

Data Science and Social Research ― Epistemology, Methods, Technology and Applications

Classification, Big Data Analysis and Statistical Learning

German-Japanese Interchange of Data Analysis Results

Advances in Statistical Models for Data Analysis

Classification - the Ubiquitous Challenge ─ Proceedings of the 28th Annual Conference of the Gesellschaft F Klassifikation e.V. University of Dortmund, March 9-11, 2004

Classification, Clustering, and Data Analysis—Recent Advances and Applications

Advances in Data Analysis, Data Handling and Business Intelligence

Classification and Multivariate Analysis for Complex Data Structures

Analysis and Modeling of Complex Data in Behavioral and Social Sciences

Analysis of Large and Complex Data

Classification and Data Mining