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Mobile Data Mining and Applications

, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data;

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Trends and Applications in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining (PAKDD) held in Tainan, Taiwan, in May 2014. The 73 revised papers presented were carefully reviewed and;

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Mobile Data Mining

This SpringerBrief presents a typical life-cycle of mobile data mining applications, including: data capturing and processing;

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Data Mining Mobile Devices

that can provide marketers with detailed information about the products, content, and services their customers desire. Data Mining Mobile;

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Data Mining Mobile Devices

that can provide marketers with detailed information about the products, content, and services their customers desire. Data Mining Mobile;

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User-Centered Data Management

database tasks, and relevant approaches to visual querying, information visualization, and visual data mining. Novel interaction paradigms, e.g;

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Service-Oriented Distributed Knowledge Discovery

A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today's often;

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Service-Oriented Distributed Knowledge Discovery

A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today's often;

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Mobile Wireless Middleware, Operating Systems and Applications

21 revised full papers were reviewed and selected from 69 submissions and are organized in tracks on MobilWare; Big data, data mining and;

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Reality Mining

shouldn't overshadow the abundant positive applications of Big Data. In Reality Mining, Nathan Eagle and Kate Greene cut through the hype and the;

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Geographic Data Mining and Knowledge Discovery

first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and;

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Interdisciplinary Approaches to Adaptive Learning: A Look at the Neighbours

for data mining, distributed search, pervasive learning, mobile learning electronic language learning environments, language testing;

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Intelligent Data Communication Technologies and Internet of Things

works on big data, mobile and wireless networks, artificial intelligence, machine learning, social network mining, intelligent computing;

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Web-Age Information Management

Management and Mining for the Web (SDMMW 2016) * The International Workshop on Semi-structured Big Data Management and Applications;

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User-Centered Data Management

database tasks, and relevant approaches to visual querying, information visualization, and visual data mining. Novel interaction paradigms, e.g;

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Advanced Data Mining and Applications

This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held;

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Machine Learning Theoretical Foundations and Practical Applications

navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning;

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Green, Pervasive, and Cloud Computing

data mining and knowledge mining.;

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Advances on Data Mining: Applications and Theoretical Aspects

This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA;

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Intelligent Computing and Networking

learning, deep learning, fuzzy logic, natural language processing, human-machine interaction, big data mining, data science and mining;

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Clustering And Outlier Detection For Trajectory Stream Data

services.Unlike other books on spatial databases, mobile computing, data mining, or computing with spatial trajectories, this book is focused on smart;

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Database Systems for Advanced Applications. DASFAA 2021 International Workshops

Workshop on Big Data Quality Management (BDQM 2021) 5th International Workshop on Graph Data Management and Analysis (GDMA 2021) First;

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Data Mining

This book, Data Mining: The Data Mining Guide for Beginners, Including Applications for Business, Data Mining Techniques, Concepts, and;

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AI, Edge and IoT-based Smart Agriculture

a medium for the exchange of expertise and inspiration, contributions from both smart agriculture and data mining researchers around the;

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Advances in Intelligent and Distributed Computing

, Romania, October 2007. Coverage includes: autonomous and adaptive computing; data mining and knowledge discovery; distributed problem solving and;

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Data Mining with Microsoft SQL Server 2008

Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL;

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Cube Based Incremental Data Mining

This work presents a cube-based approach for incremental data mining that operates on the data, rather than on the data mining algorithms;

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