Learn IT - Books tags mining

Foundations and Novel Approaches in Data Mining (Studies in Computational Intelligence)

Springer, 2005

Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the...

Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

Manning Publications, 2016

Summary

Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.

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Efficient Approximation and Online Algorithms: Recent Progress on Classical Combinatorial Optimization Problems and New Applications

Springer, 2006

This book provides a good opportunity for computer science practitioners and researchers to get in sync with the current state-of-the-art and future trends in the field of combinatorial optimization and online algorithms. Recent advances in this area are presented focusing on the design of efficient approximation and on-line algorithms. One central...

Python Data Analysis Cookbook

Packt Publishing, 2016

Key Features

Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types

Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning

Authored by Ivan Idris, expert in python programming and proud...

Computer Science Handbook, Second Edition

CRC Press, 2004

The second edition of this elemental handbook reviews the current state of theory and practice in the field while emphasizing a more practical/applied approach to IT topics such as information management, net-centric computing, and human computer interaction. With a complete revision of its sections on software engineering, architecture, and...

Privacy Preserving Data Mining (Advances in Information Security)

Springer, 2005

Data mining has emerged as a significant technology for gaining knowledge from vast quantities of data. However, concerns are growing that use of this technology can violate individual privacy. These concerns have led to a backlash against the technology, for example, a "Data-Mining Moratorium Act" introduced in the U.S. Senate that would...

Learning Data Mining with Python

Packt Publishing, 2015

Harness the power of Python to analyze data and create insightful predictive models

About This Book

Learn data mining in practical terms, using a wide variety of libraries and techniques

Learn how to find, manipulate, and analyze data using Python

Step-by-step instructions...

Advances in Data Analysis: Proceedings of the 30th Annual Conference

Springer, 2007

The book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. It covers a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and...

Agent Intelligence Through Data Mining (Multiagent Systems, Artificial Societies, and Simulated Organizations)

Springer, 2006

Knowledge, hidden in voluminous data repositories routinely created and maintained by today’s applications, can be extracted by data mining. The next step is to transform this discovered knowledge into the inference mechanisms or simply the behavior of agents and multi-agent systems. Agent Intelligence Through Data Mining addresses this...

Data Warehousing and Data Mining for Telecommunications (Artech House Computer Science Library)

Artech House Publishers, 1997

Provides practical, step-by-step instructions on how to design and develop effective, costefficient data warehouses. DLC: Telecommunications Management.

Through dozens of case studies and real-world examples, this clearly written guide shows telecommunications managers how to build more effective data warehouses without wasting time and...

Developing Bioinformatics Computer Skills

O'Reilly, 2001

Bioinformatics--the application of computational and analytical methods to biological problems--is a rapidly evolving scientific discipline. Genome sequencing projects are producing vast amounts of biological data for many different organisms, and, increasingly, storing these data in public databases. Such biological databases are growing...

Swarm Intelligence in Data Mining (Studies in Computational Intelligence)

Springer, 2006

Science is a swarm.

To the layperson, the stereotypical scientist is logical, clear-thinking, wellinformed but perhaps socially awkward, carefully planning his or her experiments and then analyzing the resulting data deliberately, with precision. The scientist works alone, emotion-free, searching only for truth, having been well advised...

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