Handbook of statistical analysis and data mining applications

Handbook of statistical analysis and data mining applications

Afficher d'autres versions (1)

Enregistré dans:

Détails bibliographiques
Auteur principal:	Nisbet, Robert. (Auteur)
Autres auteurs:	Miner, Gary. (Auteur), Yale, Ken. (Collaborateur), Elder, John Fletcher (1961-....; statisticien)., Peterson, Andy.
Support:	E-Book
Langue:	Anglais
Publié:	San Diego : Elsevier Science, 2017.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Handbook of Statistical Analysis and Data Mining Applications
par: Nisbet, Robert.

Practical text mining and statistical analysis for non-structured text data applications
Publié: (2012)

Handbook of Data Mining
par: Ye, Nong.

Data mining and statistics for decision making
par: Tufféry, Stéphane (1965-....).
Publié: (2011)

Statistics, Data Mining, and Machine Learning in Astronomy : A Practical Python Guide for the Analysis of Survey Data
par: Ivezic, Zeljko (1965-....).
Publié: (2019)

Cluster Analysis and Data Mining : An Introduction
par: King, Ronald S..

Data mining and predictive analysis : intelligence gathering and crime analysis
par: McCue, Colleen (19..-....).
Publié: (2014)

Data analysis with IBM SPSS statistics
par: Stehlik-Barry, Kenneth (19..-....).
Publié: (2017)

Density estimation for statistics and data analysis
par: Silverman, Bernard W, 1952-
Publié: (1986)

Statistical analysis of financial data in S-PLUS
par: Carmona, René.
Publié: (2004)

Statistical Methods for Survival Data Analysis
par: Lee, Elisa T. (1939-....).
Publié: (2014)

Data mining applications with R
par: Zhao, Yanchang (1977-....).
Publié: (2013)

Recent developments in statistical inference and data analysis : proceedings of the International Conference in Statistics in Tokyo
Publié: (1980)

Statistics for Data Science : Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
par: Miller, James D..
Publié: (2017)

Computational and statistical methods for analysing big data with applications
Publié: (2015)

Statistical analysis : an interdisciplinary introduction to univariate & multivariate methods
par: Kachigan, Sam Kash.
Publié: (1986)

New trends in data analysis and applications
Publié: (1983)

Data Warehouse and Data Mining : Concepts, techniques and real life applications
par: Kumar, Jugnesh.

Data preparation for data mining
par: Pyle, Dorian.
Publié: (1999)

Statistical analysis with R for dummies
par: Schmuller, Joseph (1947-....).

Intelligent Data Analysis for Biomedical Applications : Challenges and Solutions
par: Hemanth, D. Jude.

Learning data mining with Python
par: Layton, Robert (19..-....; informaticien).
Publié: (2017)

Data Mining for Dummies
par: Brown, Meta S..

Le Data Mining
par: Lefébure, René.
Publié: (1998)

Data mining : practical machine learning tools and techniques
par: Witten, Ian H.
Publié: (2005)

Data mining : practical machine learning tools and techniques
par: Witten, Ian H. (19..-....).
Publié: (2016)

Discriminant analysis and statistical pattern recognition
par: McLachlan, Geoffrey J, 1946-
Publié: (1992)

Statistical analysis of stochastic processes in time
par: Lindsey, James K.
Publié: (2004)

Introduction to Applied Statistical Signal Analysis
par: Shiavi, Richard.
Publié: (2006)

Statistics for big data for dummies.
Publié: (2015)

R data mining : implement data mining techniques through practical use cases and real-world datasets
par: Cirillo, Andrea.
Publié: (2017)

R and data mining : examples and case studies
par: Zhao, Yanchang (1977-....).
Publié: (2012)

Hands-On Data Analysis with Pandas : A Python data science handbook for data collection, wrangling, analysis, and visualization
par: Molin, Stefanie.
Publié: (2021)

Cluster analysis and data analysis
par: Jambu, Michel, 1944-
Publié: (1983)

Machine Learning for Data Mining : Improve your data mining capabilities with advanced predictive modeling
par: Salcedo, Jesus.
Publié: (2019)

Learning data mining with Python : harness the power of Python to analyze data and create insightful predictive models
par: Layton, Robert (19..-....; informaticien).
Publié: (2015)

Handbook of Applied Multivariate Statistics and Mathematical Modeling
par: Tinsley, Howard.
Publié: (2000)

The Elements of statistical learning : Data Mining, inference, and prediction .
par: Hastie , Trevor.
Publié: (2005)

Data analysis in the cloud : models, techniques and applications
par: Talia, Domenico (19..-....).
Publié: (2015)

Handbook of thermal analysis and calorimetry : recent advances, techniques and applications.
par: Vyazovkin, Sergey.
Publié: (2018)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1