Description
J.Han – Data Mining. Concepts & Techniques
Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets.
After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining.
This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. J.Han – Data Mining. Concepts & Techniques
* Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data
J.Han, Data Mining. Concepts & Techniques, Download Data Mining. Concepts & Techniques, Free Data Mining. Concepts & Techniques, Data Mining. Concepts & Techniques Torrent, Data Mining. Concepts & Techniques Review, Data Mining. Concepts & Techniques Groupbuy.


TAS Profile Scanner Plus v4.5.1a
Joseph C.H.Chai – Economic Reform in China & India
Vladimir Cherkassky, Filip Mulier – Learning from Data. Concepts, Theory & Methods
TRIFORCE TRAINING Part 2
Mark Jurik – Neural Networks & Financial Forecasting
Candlechartsacademy - Fibonacci Analysis Secrets
Udemy - The Complete Elixir And Phoenix Bootcamp
Christodoulos Floudas, Panos Pardalos – Encyclopedia of Optimization 2nd Ed
ACADEMY - TRADING COURSES BUNDLE
Microsoft Azure cloud – Beginner Bootcamp (Updated Sep 2019)
Carlos Usabiaga Ibanez – The Current State of Macroeconomics
STOCK OPTIONS BASICS COURSE - Follow Me Trades
Yi Tang – Quantitative Analysis, Derivates Modeling & Trading Strategies
Burkhard Pedell – Regulatory Risk & the Cost of Capital
Nita N. Shah - Optimization And Inventory Management
Udemy - JavaScript Bootcamp – Build Real World Applications
Udemy - Complete Web Development: 22 Courses In 1
Roy M.Howard – Principles of Random Signal Analysis & Low Noise Design
Macro fundamentals trading course
Maxim Finkelstein - Failure Rate Modelling for Reliabiliy & Risk
Nils Rasmussen – Process Improvement for Effective Budgeting and Financial Reporting
Kazuo Tanaka, Hua Wang – Fuzzy Control Systems Design and Analysis A Linear Matrix Inequality Approach
Donald Mack – A Course in Trading
Zap Seminar - David Stendahl - Day Trading the E-Minis
Darrell Duffie – Credit Risk
Reviews
There are no reviews yet.