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Mining of Massive Datasets

popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book;

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Big Data Analytics

big data analytics, information and knowledge management, mining of massive datasets, computational modeling, data mining and analysis.;

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Mining of Massive Datasets

The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining;

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Predictive Analytics and Data Optimization

dynamics of large scale information networks, data mining, etc. It strives to give a fair idea about this discipline and to help develop a better;

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Learning Data Mining with Python -

Harness the power of Python to develop data mining applications, analyze data, delve into machine learning, explore object detection using;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Recent Advances In Data Mining Of Enterprise Data

The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived;

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Understanding Complex Datasets

Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix;

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Visual Data Mining

A visual approach to data mining. Data mining has been defined as the search for useful and previously unknown patterns in large datasets;

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Clustering Methodology for Symbolic Data

founding father of Symbolic Data Analysis. * Extends and expands on the material in Symbolic Data Analysis: Conceptual Statistics and Data Mining;

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Data Mining

Data mining is an important branch of computer science and information technology management that deals with the discovery and analysis;

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Data Algorithms

solution with code that you can use in your projects. Dr. Mahmoud Parsian covers basic design patterns, optimization techniques, and data mining;

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Handbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that;

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Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes

Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis demonstrates how;

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Data Fusion and Data Mining for Power System Monitoring

Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining;

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Data Fusion and Data Mining for Power System Monitoring

Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining;

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Mining Structures of Factual Knowledge from Text

methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora. Departing from;

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Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning;

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Anonymizing Health Data

With this practical book, you will learn proven methods for anonymizing health data to help your org;...

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Pattern Mining with Evolutionary Algorithms

This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal;

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Uncertainty Modeling for Data Mining

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise;

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Python Data Mining Quick Start Guide

Explore the different data mining techniques using the libraries and packages offered by Python Key Features Grasp the basics of data;

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Symbolic Data Analysis and the SODAS Software

in order to extract knowledge from such data. Symbolic data methods differ from that of data mining, for example, because rather than identifying;

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Text Mining

Text Mining: Applications and Theory presents thestate-of-the-art algorithms for text mining from both the academicand industrial;

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Next Generation of Data Mining

Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation;

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Next Generation of Data Mining

Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation;

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