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Discovering Knowledge In Data

The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever;

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Data Mining and Knowledge Discovery With Evolutionary Algorithms

This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become;

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Discovery Science

knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various;

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Data Mining

Data Mining deals with discovering hidden knowlege, unexpected patterns.It is currently regarded as the key element of a much more involved;

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Discovery Science

from machine learning, data mining, and intelligent data analysis, as well as their application in various scientific domains.;

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Towards Integrative Machine Learning and Knowledge Extraction

The BIRS Workshop Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets (15w2181), held in July 2015;

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Multidimensional Mining of Massive Text Data

Unstructured text, as one of the most important data forms, plays a crucial role in data-driven decision making in domains ranging from;

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Multidimensional Mining of Massive Text Data

Unstructured text, as one of the most important data forms, plays a crucial role in data-driven decision making in domains ranging from;

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Discovery Science

includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data;

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Innovations in Big Data Mining and Embedded Knowledge

This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose;

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Activity Learning

Defines the notion of an activity model learned from sensor data and presents key algorithms that form the core of the field Activity;

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Relational Knowledge Discovery

represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a;

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Relational Knowledge Discovery

represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a;

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Discovering Space

Covering the latest space explorations and the most recent understanding of the stars and planets, t;...

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Knowledge Discovery in Databases

for tools and techniques for intelligent data understanding. Relationships and patterns in data may enable a manufacturer to discover the;

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The Master Algorithm

the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The;

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Intelligent Data Engineering and Automated Learning IDEAL 2015

This book constitutes the refereed proceedings of the 16th International Conference on Intelligent Data Engineering and Automated;

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Biological Data Mining and Its Applications in Healthcare

. This has resulted in a flood of biological and clinical data from genomic and protein sequences, DNA microarrays, protein interactions;

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Discovery Science

from machine learning, data mining, and intelligent data analysis, as well as their application in various scienti c domains, on the one hand;

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Data Mining for Biomarker Discovery

informatics. This volume is a collection of state-of-the-art research into the application of data mining to the discovery and analysis of new;

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Spark in Action

Working with big data can be complex and challenging, in part because of the multiple analysis frameworks and tools required;

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Data Mining Concepts & Techniques

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be;

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Discovering Statistics Using R

the freeware R - a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the;

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Think Like a Data Scientist

Data science is more than just a set of tools and techniques for extracting knowledge from data sets and data streams. Data science is also;

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Semi-Supervised and Unsupervised Machine Learning

This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised;

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Data Mining

New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and;

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Data Mining

New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and;

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