PERPUSTAKAAN UBAKRIE | NPP 3174022D2014855

  • Home
  • Information
  • News
  • Help
  • Librarian
  • Member Area
  • Select Language :
    Arabic Bengali Brazilian Portuguese English Espanol German Indonesian Japanese Malay Persian Russian Thai Turkish Urdu

Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

{{tmpObj[k].text}}

Filter by

  • Publication Year
  • Availability
  • Attachment
  • Collection Type
    See More
  • General Material Designation
    See More
  • Location
    See More
  • Language
Found 11 from your keywords: subject="Data mining"
cover
Modern Data Warehousing, Mining and Visualization: Core Concepts
Comment Share
Marakas, George M.

Written from a multidisciplinary user/manager approach—rather than a designer approach, this text looks at data warehousing technologies necessary to support the business processes of the twenty-first century. It explores the basic concepts of data mining, warehousing, and visualization—with an emphasis on both technical and managerial issues and the implication of these modern emerging tec…

Edition
-
ISBN/ISSN
9788131708767
Collation
xiv, 274 p. : ill. ; 24 cm
Series Title
-
Call Number
658.40380285574 Mar m
Availability1
Add to basket
MARC DownloadCite
cover
Data Mining : Teknik Pemanfaatan Data untuk Keperluan Bisnis Teori dan Aplikasi
Comment Share
Santosa, Budi

Abstrak Belum Tersedia

Edition
-
ISBN/ISSN
9789797562243
Collation
xx, 240p.: il.; 27cm.
Series Title
-
Call Number
006.312 San d
Availability2
Add to basket
MARC DownloadCite
cover
Data mining for the masses
Comment Share
North, Matthew

Abstrak Belum Tersedia

Edition
-
ISBN/ISSN
9780615684376
Collation
xii, 252 pages ; 28 cm
Series Title
-
Call Number
006.312 Nor d
Availability3
Add to basket
MARC DownloadCite
cover
XML Data Mining: Models, Methods, and Applications
Comment Share
Tagarelli, Andrea

Abstrak Belum Tersedia

Edition
-
ISBN/ISSN
9781613503560
Collation
xv, 522 p. : ill. ; 29 cm
Series Title
-
Call Number
006.312 Tag x
Availability1
Add to basket
MARC DownloadCite
cover
Data + Journalism : A Story-Driven Approach to Learning Data Reporting
Comment Share
Reilley, Mike,Sunne, Samantha,

Taking a hands-on and holistic approach to data, Data + Journalism provides a complete guide to reporting data-driven stories. This book offers insights into data journalism from a global perspective, including datasets and interviews with data journalists from countries around the world. Emphasized by examples drawn from frequently updated sets of open data posted by authoritative sources lik…

Edition
-
ISBN/ISSN
9781032225913
Collation
xii, 236 p. ; 23 cm.
Series Title
-
Call Number
070.402 85 REI d
Availability1
Add to basket
MARC DownloadCite
cover
Big data analytics for large-scale multimedia search
Comment Share
Huet, BenoitKompatsiaris, YiannisVrochidis, StefanosChang, Edward Y.

The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research …

Edition
-
ISBN/ISSN
9781119376972
Collation
1 online resource
Series Title
-
Call Number
005.7 BIG
Availability1
Add to basket
MARC DownloadCite
cover
Python for data science for dummies
Comment Share
Massaron, LucaMueller, John

Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data Science For Dummies shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify tre…

Edition
-
ISBN/ISSN
9781118844182
Collation
xii, 418 pages : illustrations ; 24 cm
Series Title
--For dummies
Call Number
005.133 MOE p
Availability1
Add to basket
MARC DownloadCite
cover
Python data science handbook: essential tools for working with data
Comment Share
Vanderplas, Jacob T.

The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery. People with a programming background who want to use Python effectively for data science tasks will learn how to face a variety of problems: e.g., how can I read this data format into my script? How can I manipulate, t…

Edition
1st.ed
ISBN/ISSN
9781491912058
Collation
xvi, 529 pages : illustrations, maps ; 24 cm
Series Title
-
Call Number
006.312 VAN p
Availability1
Add to basket
MARC DownloadCite
cover
Data Mining: Concepts, Models, Methods, and Algorithms
Comment Share
Kantardzic, Mehmed

Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition ofData Miningcontains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recogni…

Edition
3rd ed
ISBN/ISSN
9781119516040
Collation
xvii, 639 pages : illustrations ; 24 cm
Series Title
-
Call Number
006.312 KAN d
Availability1
Add to basket
MARC DownloadCite
cover
Uncharted : big data as a lens on human culture
Comment Share
Aiden, ErezMichel, Jean-Baptiste

Abstrak Belum Tersedia

Edition
-
ISBN/ISSN
9781594632907
Collation
280 pages : illustrations ; 22 cm
Series Title
-
Call Number
302.231 Aid u
Availability3
Add to basket
MARC DownloadCite
cover
Number sense : how to use big data to your advantage
Comment Share
Fung, Kaiser

Abstrak Belum Tersedia

Edition
-
ISBN/ISSN
9780071799669
Collation
xi, 228 pages : illustrations ; 22 cm
Series Title
-
Call Number
006.312 Fun n
Availability0
Add to basket
MARC DownloadCite
PERPUSTAKAAN UBAKRIE | NPP 3174022D2014855
  • Information
  • Services
  • Librarian
  • Member Area

About Us

As a complete Library Management System, SLiMS (Senayan Library Management System) has many features that will help libraries and librarians to do their job easily and quickly. Follow this link to show some features provided by SLiMS.

Search

start it by typing one or more keywords for title, author or subject

Keep SLiMS Alive Want to Contribute?

© 2026 — Senayan Developer Community

Powered by SLiMS
Select the topic you are interested in
  • Computer Science, Information & General Works
  • Philosophy & Psychology
  • Religion
  • Social Sciences
  • Language
  • Pure Science
  • Applied Sciences
  • Art & Recreation
  • Literature
  • History & Geography
Icons made by Freepik from www.flaticon.com
Advanced Search
Where do you want to share?