Data mining dan big data analytics : teori dan implementasi menggunakan pytho…

Buku membahas bagaimana cara melakukan big data analytics menggunakan framework big data yang saat ini paling populer, yaitu Apache Spark, dengan disajikan hands-on coding step-by-step, mulai dari data pre-processing hingga pemecahan masalah yang meliputi: regresi, klasifikasi, sentiment analysist data twitter, klastering hingga membuat sistem rekomender untuk rating movie. Terakhir, akan dipan…

Proses Mining Sains Data Berorientasi Proses

Edisi

Cet 1

ISBN/ISSN

978-623-7131-73-1

Deskripsi Fisik

xxii, 242 hal; 24cm

Judul Seri

-

No. Panggil

006.312 KUR p

Data mining : algoritma dan implementasi dengan pemrograman php

Edisi

-

ISBN/ISSN

978-602-04-9881-2

Deskripsi Fisik

xii, 180 hal. ; ill. : 21 cm

Judul Seri

-

No. Panggil

005.262 SUN d

Data mining untuk klasifikasi dan klasterisasi data

Edisi

Revisi

ISBN/ISSN

978-602-6232-97-7

Deskripsi Fisik

xxxiv+414 hlm:ill.;24 cm

Judul Seri

-

No. Panggil

004 SUY d

Data mining dan machine learning menggunakan matlab dan python

Edisi

-

ISBN/ISSN

978-623-7131-32-8

Deskripsi Fisik

ix, 313 hal; 24 cm

Judul Seri

-

No. Panggil

005.262 HAN d

Data mining: algoritma dan implementasi

Edisi

1

ISBN/ISSN

978-623-01-0725-2

Deskripsi Fisik

xii, 212 hlm.; 23 cm

Judul Seri

-

No. Panggil

005.7 ARH d

Mastering data mining with python - find patterns hidden in your data

Data mining is an integral part of the data science pipeline. It is the foundation of any successful data-driven strategy – without it, you'll never be able to uncover truly transformative insights. Since data is vital to just about every modern organization, it is worth taking the next step to unlock even greater value and more meaningful understanding. If you already know the fundamental…

Data mining for business analytics: concepts, techniques, and applications in R

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer …

Rapid miner: data mining use cases and business analytics applications

Edisi

-

ISBN/ISSN

978-750-8400

Deskripsi Fisik

liv, 463 hlm.; ill.; 25 cm

Judul Seri

-

No. Panggil

006.312 HOF r

Data Mining

Edisi

-

ISBN/ISSN

978-979-29-3118-1

Deskripsi Fisik

viii, 204 hlm ; 23 cm

Judul Seri

-

No. Panggil

005.7 HER d