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Modern Approaches of Data Mining: Theory and Practice

Our book includes some state-of-the-art classical and non-classical approaches of data mining and given a well-balanced treatment of both;

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Temporal Data Mining via Unsupervised Ensemble Learning

blend of theory and practice. Furthermore, the book includes illustrations of the proposed approaches based on data and simulation;

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Pharmaceutical Data Mining

industry. Focusing on diverse data mining approaches for drug discovery, including chemogenomics, toxicogenomics, and individual drug response;

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Developing Econometrics

mining * Highlights recent advances in statistical theory and methods that benefit econometric practice. * Features examples with real life data;

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Data Mining Methods for the Content Analyst

Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for new and experienced;

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Data Mining Methods for the Content Analyst

Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for new and experienced;

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Web Data Mining

This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered;

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Data Mining With Decision Trees

important technique.Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science;

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Java Data Mining: Strategy, Standard, and Practice

in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining;

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Role Mining In Business

book blends business elements with data mining theory, and thus further extends the applications of role mining into business practice. This;

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

blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a;

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Modern Computational Approaches to Traditional Chinese Medicine

approaches such as data mining, semantic reasoning and computational intelligence have emerged as innovative approaches for the reservation and;

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Data Mining

to compile. Data Mining: Building Competitive Advantage shows you how. You won't just learn the theory and concepts of data mining; you'll;

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Quantitative Data Analysis for Language Assessment Volume II

assessment. The volume takes an interdisciplinary approach and taps into expertise from language assessment, data mining, and psychometrics. The;

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Quantitative Data Analysis for Language Assessment Volume II

assessment. The volume takes an interdisciplinary approach and taps into expertise from language assessment, data mining, and psychometrics. The;

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Bioinformatics Database Systems

. The latter part of the book covers biological data mining and biological data processing approaches using cloud-based technologies. General;

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Bioinformatics Database Systems

. The latter part of the book covers biological data mining and biological data processing approaches using cloud-based technologies. General;

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Association Rule Hiding for Data Mining

Privacy and security risks arising from the application of different data mining techniques to large institutional data repositories have;

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Data Mining in Biomedical Imaging, Signaling, and Systems

of frequently encountered heterogeneous data modalities and details the applicability of data mining approaches used to address the computational;

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Data Mining in Biomedical Imaging, Signaling, and Systems

of frequently encountered heterogeneous data modalities and details the applicability of data mining approaches used to address the computational;

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Soft Computing for Knowledge Discovery and Data Mining

Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It;

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Transactions on Rough Sets XIII

foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information;

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Abductive Reasoning and Learning

to all areas of applied reasoning, including artificial intelligence, philosophy of science, machine learning, data mining and decision;

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Exploratory Data Mining and Data Cleaning

* Written for practitioners of data mining, data cleaning and database management. * Presents a technical treatment of data quality;

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Data Stream Mining & Processing

This book constitutes the proceedings of the third International Conference on Data Stream and Mining and Processing, DSMP 2020, held;

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Statistical and Machine Learning Approaches for Network Analysis

methods to analyze networks statistically. Methods from machine learning, data mining, and information theory are strongly emphasized throughout;

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Big Data, Mining, and Analytics

approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining. Includes a foreword by Thomas H. Davenport;

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