Del 37 i serien Studies in Big Data

Nonparametric Kernel Density Estimation and Its Computational Aspects

Häftad, Engelska, 2019

AvArtur Gramacki

2 069 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (1)

Inbunden

2 069 kr

Skickas inom 10-15 vardagar

This book describes computational problems related to kernel density estimation (KDE) – one of the most important and widely used data smoothing techniques. A very detailed description of novel FFT-based algorithms for both KDE computations and bandwidth selection are presented.The theory of KDE appears to have matured and is now well developed and understood. However, there is not much progress observed in terms of performance improvements. This book is an attempt to remedy this.The book primarily addresses researchers and advanced graduate or postgraduate students who are interested in KDE and its computational aspects. The book contains both some background and much more sophisticated material, hence also more experienced researchers in the KDE area may find it interesting.The presented material is richly illustrated with many numerical examples using both artificial and real datasets. Also, a number of practical applications related to KDE are presented.

Produktinformation

Utgivningsdatum2019-06-04
Mått155 x 235 x 12 mm
Vikt324 g
FormatHäftad
SpråkEngelska
SerieStudies in Big Data
Antal sidor176
FörlagSpringer International Publishing AG
ISBN9783319890944

Tillhör följande kategorier

Artificiell intelligens inom Data och IT
Databaser inom Data och IT

Artur Gramacki is an assistant professor at the Institute of Control and Computation Engineering of the University of Zielona Góra, Poland. His main interests cover general exploratory data analysis, while recently he has focused on parametric and nonparametric statistics as well as kernel density estimation, especially its computational aspects. In his career, he has also been involved in many projects related to the design and implementation of commercial database systems, mainly using Oracle RDBMS. He is a keen supporter of the R Project for Statistical Computing, which he tries to use both in his research and teaching activities.

Mer från samma författare

East Germanic Ironmaking in the Roman Period

Grzegorz Zabinski, Marcin Wozniak, Jaroslaw Gramacki, Artur Gramacki

Inbunden, 2025

1 599 kr

East Germanic Ironmaking in the Roman Period

Grzegorz Zabinski, Marcin Wozniak, Jaroslaw Gramacki, Artur Gramacki

Häftad, 2027

639 kr

Mer från samma serie

Deep Learning and Missing Data in Engineering Systems

Collins Achepsah Leke, Tshilidzi Marwala

Inbunden, 2019

2 149 kr

Del 47

Ubiquitous Computing and Computing Security of IoT

N. Jeyanthi, Ajith Abraham, Hamid Mcheick

Inbunden, 2018

1 479 kr

Cloud Computing for Geospatial Big Data Analytics

Himansu Das, Rabindra K. Barik, Harishchandra Dubey, Diptendu Sinha Roy

Inbunden, 2019

2 439 kr

Introduction to Data

Francesco Corea

Inbunden, 2018

2 299 kr

Del 51

High-Utility Pattern Mining

Philippe Fournier-Viger, Jerry Chun-Wei Lin, Roger Nkambou, Bay Vo, Vincent S. Tseng

Inbunden, 2019

1 479 kr

Text Mining

Taeho Jo

Häftad, 2019

2 369 kr

Del 42

Big Data for the Greater Good

Ali Emrouznejad, Vincent Charles

Häftad, 2018

2 219 kr

Data Science in Practice

Alan Said, Vicenç Torra

Häftad, 2018

1 919 kr

Del 41

Learning from Data Streams in Evolving Environments

Moamar Sayed-Mouchaweh

Häftad, 2018

1 439 kr

Robert Bembenik, Łukasz Skonieczny, Grzegorz Protaziuk, Marzena Kryszkiewicz, Henryk Rybinski - Intelligent Methods and Big Data in Industrial Applications, Häftad

Del 40

Intelligent Methods and Big Data in Industrial Applications

Robert Bembenik, Łukasz Skonieczny, Grzegorz Protaziuk, Marzena Kryszkiewicz, Henryk Rybinski

Häftad, 2019

2 219 kr

Du kanske också är intresserad av

Del 37