Data Mining Statistica

Data mining. Metodi e strategie di Susi Dulli, Sara Furini e Edmondo Peron  eBooks & eLearning

Posted by futon2009 at April 7, 2014
Data mining. Metodi e strategie di Susi Dulli, Sara Furini e Edmondo Peron

Data mining. Metodi e strategie di Susi Dulli, Sara Furini e Edmondo Peron
Springer | 2009 | ISBN: 8847011620 | 200 pages | PDF | 5 MB

Il libro nasce dall’esigenza di coniugare esperienze e capacità procedurali diverse provenienti da vari ambiti disciplinari, quali l’informatica e la statistica, al fine di ricercare ed individuare percorsi e relazioni legate alla conoscenza. In un contesto di business, la conoscenza scoperta può avere un valore strategico per le aziende perché consente di aumentare i profitti, riducendo i costi oppure aumentando le entrate con il conseguente aumento del ROI. Il volume è rivolto sia a studenti universitari/ricercatori, che a professionisti e manager aziendali che vogliano approfondire gli aspetti algoritmici delle tecniche di Data mining.
Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner, 3rd Edition

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner by Galit Shmueli, Peter C. Bruce, Nitin R. Patel
2016 | ISBN: 1118729277 | English | 552 pages | PDF | 156 MB

Data Mining and Learning Analytics: Applications in Educational Research  eBooks & eLearning

Posted by arundhati at Dec. 7, 2016
Data Mining and Learning Analytics: Applications in Educational Research

Samira ElAtia, Donald Ipperciel, "Data Mining and Learning Analytics: Applications in Educational Research"
2016 | ISBN-10: 1118998235 | 320 pages | PDF | 6 MB

Data Mining Mobile Devices (Repost)  eBooks & eLearning

Posted by roxul at Dec. 6, 2016
Data Mining Mobile Devices (Repost)

Jesus Mena, "Data Mining Mobile Devices"
English | 2013 | ISBN: 1466555955 | 328 pages | PDF | 19,6 MB
Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach (Lecture Notes in Computer Science)

Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach (Lecture Notes in Computer Science) by Christian Bessiere
English | 6 Jan. 2017 | ISBN: 3319501364 | 349 Pages | PDF | 12.4 MB

A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications.

Predictive Data Mining Models  eBooks & eLearning

Posted by naag at Dec. 4, 2016
Predictive Data Mining Models

Predictive Data Mining Models (Computational Risk Management)
Springer | 5 Oct 2016 | English | ISBN: 9811025428 | 102 pages | PDF | 4 Mb

Data Mining with Python: Implementing Classification and Regression  eBooks & eLearning

Posted by FenixN at Nov. 23, 2016
Data Mining with Python: Implementing Classification and Regression

Data Mining with Python: Implementing Classification and Regression
HDRips | MP4/AVC, ~58 kb/s | 1280x720 | Duration: 02:03:25 | English: AAC, 128 kb/s (2 ch) | 297 MB
Genre: Development / Programming

A practical guide that will give you hands-on experience with the popular Python data mining algorithms.
Data Mining with Neural Networks: Solving Business Problems from Application Development to Decision Support [Repost]

Joseph P. Bigus - Data Mining with Neural Networks: Solving Business Problems from Application Development to Decision Support
1996 | ISBN: 0070057796 | English | 220 pages | DJVU | 2.8 MB

Learning Data Mining with R  eBooks & eLearning

Posted by FenixN at Nov. 6, 2016
Learning Data Mining with R

Learning Data Mining with R
HDRips | MP4/AVC, ~84 kb/s | 1280x720 | Duration: 02:17:02 | English: AAC, 128 kb/s (2 ch) | 335 MB
Genre: Development / Programming

A complete course to help you learn all the relevant aspects of data mining using R.

Temporal Data Mining (repost)  eBooks & eLearning

Posted by MoneyRich at Nov. 4, 2016
Temporal Data Mining (repost)

Temporal Data Mining by Theophano Mitsa
English | 12 Mar. 2010 | ISBN: 1420089765 | 395 Pages | PDF | 7 MB

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal information in data today.