Learn IT - Books tags mining

Modern X86 Assembly Language Programming: Covers x86 64-bit, AVX, AVX2, and AVX-512

Apress, 2018

Since the invention of the personal computer, software developers have used x86 assembly language to create innovative solutions for a wide variety of algorithmic challenges. During the early days of the PC era, it was common practice to code large portions of a program or complete applications using x86 assembly...

Business Intelligence: Data Mining and Optimization for Decision Making

John Wiley & Sons, 2009

Business intelligence is a broad category of applications andtechnologies for gathering, providing access to, and analyzing datafor the purpose of helping enterprise users make better businessdecisions. The term implies having a comprehensive knowledge of allfactors that affect a business, such as customers, competitors,business partners,...

R and Data Mining: Examples and Case Studies

Academic Press, 2012

This book guides R users into data mining and helps data miners who use R in their work. It provides a how-to method using R for data mining applications from academia to industry. It

Presents an introduction into using R for data mining applications, covering most popular data mining techniques

Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance and Authoring

John Wiley & Sons, 2012

The advent of increasingly large consumer collections of audio(e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube)is driving a need not only for multimedia retrieval but alsoinformation extraction from and across media. Furthermore,industrial and government collections fuel requirements for stockmedia access, media preservation,...

Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition

John Wiley & Sons, 2011

Now updated—the systematic introductory guide to modern analysis of large data sets

As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book...

Distances and Similarities in Intuitionistic Fuzzy Sets (Studies in Fuzziness and Soft Computing)

Springer, 2013

This book presents the state-of-the-art in theory and practice regarding similarity and distance measures for intuitionistic fuzzy sets. Quantifying similarity and distances is crucial for many applications, e.g. data mining, machine learning, decision making, and control. The work provides readers with a comprehensive set of theoretical...

Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python

Packt Publishing, 2018

With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web

Key Features

Build industry-standard recommender systems

...

Data Mining and Statistics for Decision Making

John Wiley & Sons, 2011

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify...

Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis

Butterworth-Heinemann, 2007

It is now possible to predict the future when it comes to crime. In Data Mining and Predictive Analysis, Dr. Colleen McCue describes not only the possibilities for data mining to assist law enforcement professionals, but also provides real-world examples showing how data mining has identified crime trends, anticipated community...

Data Mining and Knowledge Discovery for Big Data: Methodologies, Challenge and Opportunities (Studies in Big Data)

Springer, 2013

The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for...

Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications

Springer, 2011

In today’s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences.

Evolving fuzzy systems (EFS) are a powerful tool...

Semantic Mining Technologies for Multimedia Databases

Information Science Publishing, 2009

Multimedia searching and management have become popular due to demanding applications and competition among companies. Despite the increase in interest, there is no existing book covering basic knowledge on state-of-the-art techniques within the field.

Semantic Mining Technologies for Multimedia Databases provides an...

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