E-kitap > Bilim > Matematik > Jiawei Han & Hillol Kargupta: Next Generation of Data Mining (PDF)

Jiawei Han & Hillol Kargupta
Next Generation of Data Mining

Destek

Örtmek Jiawei Han & Hillol Kargupta: Next Generation of Data Mining (PDF)

Drawn from the US National Science Foundation”s Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.Gathering perspectives from top experts across different di

€87.56

Biçim PDF ● Sayfalar 601 ● ISBN 9781420085877 ● Editör Jiawei Han & Hillol Kargupta ● Yayımcı CRC Press ● Yayınlanan 2008 ● İndirilebilir 3 kez ● Döviz EUR ● Kimlik 7353085 ● Kopya koruma Adobe DRM

DRM özellikli bir e-kitap okuyucu gerektirir

Aynı yazardan daha fazla e-kitap / Editör

Jiawei Han Hillol Kargupta Vipin Kumar Rajeev Motwani Philip S. Yu USA) Han Jiawei (University of Illinois at Urbana-Champaign New Delhi, India) Kumar Vipin (Indian Institute of Technology California, USA Stanford University, California, USA) Motwani Rajeev (Stanford University Chicago, USA University of Illinois, Chicago, USA University of Illinois, Chicago, USA University of Illinois, Chicago, USA) Yu Philip S. (University of Illinois

47.429 Bu kategorideki e-kitaplar

Örtmek COMAP: For All Practical Purposes

COMAP: For All Practical Purposes

Örtmek Lucia Darrow & Walter DeGrange: Field Guide to Compelling Analytics

Lucia Darrow & Walter DeGrange: Field Guide to Compelling Analytics

Field Guide to Compelling Analytics is written for Analytics Professionals (APs) who want to increase their probability of success in implementing analytical solutions. In the past, soft skills such …

Örtmek Michael J. (University of Florida, Gainesville, USA) Daniels & Antonio Linero: Bayesian Nonparametrics for Causal Inference and Missing Data

Michael J. (University of Florida, Gainesville, USA) Daniels & Antonio Linero: Bayesian Nonparametrics for Causal Inference and Missing Data

Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional rela …

Örtmek Chris (University of Bath, UK) Chatfield: Problem Solving

Chris (University of Bath, UK) Chatfield: Problem Solving

This book illuminates the complex process of problem solving, including formulating the problem, collecting and analyzing data, and presenting the …

Örtmek Rudolf Taschner: Numbers at Work

Rudolf Taschner: Numbers at Work

Drawing primarily from historical examples, this book explains the tremendous role that numbers and, in particular, mathematics play in all aspects of our civilization and culture. The lively style …

Örtmek Martin Hugh (University of Victoria, Division of Continuing Studies, Canada) Monkman: The Data Preparation Journey

Martin Hugh (University of Victoria, Division of Continuing Studies, Canada) Monkman: The Data Preparation Journey

The Data Preparation Journey: Finding Your Way With R introduces the principles of data preparation within in a systematic approach that follows a typical data science or statistical workflow. With t …

Örtmek H.R. Madala: Inductive Learning Algorithms for Complex Systems Modeling

H.R. Madala: Inductive Learning Algorithms for Complex Systems Modeling

Inductive Learning Algorithms for Complex Systems Modeling is a professional monograph that surveys new types of learning algorithms for modeling complex scientific systems in science and …

Örtmek John E. Kolassa: An Introduction to Nonparametric Statistics

John E. Kolassa: An Introduction to Nonparametric Statistics

An Introduction to Nonparametric Statistics presents techniques for statistical analysis in the absence of strong assumptions about the distributions generating the data.　Rank-based and resamplin …

Örtmek William H. Beyer: Handbook of Mathematical Science

William H. Beyer: Handbook of Mathematical Science

Numerical tables of mathematical and statistical functions are in continual demand by professional scientists, by those in the teaching profession, and by students of mathematics and related …

Örtmek Diana Cole: Parameter Redundancy and Identifiability

Diana Cole: Parameter Redundancy and Identifiability

Sonraki Sayfa >>>