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

Databases and Information Systems VI: Selected Papers from the Ninth International Baltic Conference, DB&IS 2010 - Volume 224 Frontiers in Artificial Intelligence and Applications
Databases and Information Systems VI: Selected Papers from the Ninth International Baltic Conference, DB&IS 2010 - Volume 224 Frontiers in Artificial Intelligence and Applications
This volume presents papers from the Ninth International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2010) which took place in Riga, Latvia, in July 2010. Since this successful biennial series began in 1994, the Baltic DB&IS conferences have become an international forum of high scientific criteria for...
A Practical Approach to Compiler Construction (Undergraduate Topics in Computer Science)
A Practical Approach to Compiler Construction (Undergraduate Topics in Computer Science)

This book provides a practically-oriented introduction to high-level programming language implementation. It demystifies what goes on within a compiler and stimulates the reader's interest in compiler design, an essential aspect of computer science. Programming language analysis and translation techniques are used in many software...

Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)
Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)
A very ambitious undertaking, masterfully described. To the best of my knowledge, this is the first published version of the detailed models implied by the Zachman Framework. David Hay builds the models one step at a time, describing in each increment why the new entities were added, and how they related to the rest of the model. At least as...
CONCUR 2004 -- Concurrency Theory
CONCUR 2004 -- Concurrency Theory

This book constitutes the refereed proceedings of the 15th International Conference on Concurrency Theory, CONCUR 2004, held in London, UK in August/September 2004.

The 29 revised full papers presented together with 4 invited papers were carefully reviewed and selected from 134 submissions. Among the topics covered are concurrency...

NLTK Essentials
NLTK Essentials

Build cool NLP and machine learning applications using NLTK and other Python libraries

About This Book

  • Extract information from unstructured data using NLTK to solve NLP problems
  • Analyse linguistic structures in text and learn the concept of semantic analysis and parsing
  • ...
php|architect's Guide to Web Scraping
php|architect's Guide to Web Scraping

Today , there aremany services out there providing news feeds, and there are plenty of code libraries that can parse this data. So, with the proliferation of web services and public APIs, why is web scraping still so important to the future of the Web? It is important because of the rise ofmicroformats, Semantic Web technologies, theW3C...

Architecture-Independent Programming for Wireless Sensor Networks (Wiley Series on Parallel and Distributed Computing)
Architecture-Independent Programming for Wireless Sensor Networks (Wiley Series on Parallel and Distributed Computing)
New automated, application-independent methodology for designing and deploying sensor networks

Following this book's clear explanations, examples, and illustrations, domain experts can design and deploy nontrivial networked sensing applications without much knowledge of the low-level networking aspects of deployment. This new approach is based...

Modern Compiler Implementation in C
Modern Compiler Implementation in C

This new, expanded textbook describes all phases of a modern compiler: lexical analysis, parsing, abstract syntax, semantic actions, intermediate representations, instruction selection via tree matching, dataflow analysis, graph-coloring register allocation, and runtime systems. It includes good coverage of current techniques in code...

Natural Language Processing with Python
Natural Language Processing with Python
This book offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies, ranging from predictive text and email filtering to automatic summarization and translation. With Natural Language Processing with Python, you'll learn how to write Python programs to work with large...
The Intelligent Web: Search, smart algorithms, and big data
The Intelligent Web: Search, smart algorithms, and big data

As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web...

Machine Learning for Audio, Image and Video Analysis: Theory and Applications
Machine Learning for Audio, Image and Video Analysis: Theory and Applications
Machine Learning involves several scientific domains including mathematics, computer science, statistics and biology, and is an approach that enables computers to automatically learn from data. Focusing on complex media and how to convert raw data into useful information, this book offers both introductory and advanced material in the combined...
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