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Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data;
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mining is achieved. Featuring research on topics such as data mining, real-time ubiquitous social mining services, and cognitive computing, this;
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uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45;
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requirements of mobile data mining applications: energy-saving, personalization, and real-time Energy saving is a fundamental requirement;
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solve real problems and recognize whether a data mining solution is a feasible alternative for a specific problem. Fundamental data mining;
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emphasis is placed on the use of data mining concepts in real world applications with large database components. KEY TOPICS: Includes unique;
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* Create models that solve real-world problems * Design and develop data mining applications using a variety of datasets * Perform object;
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, scholars, professionals, students, and academicians. Selected topics include: Real-World Data Mining Applications, Challenges, and;
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Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real;
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Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data;
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techniques Real-Time Analytics includes in-depth case studies for website analytics, Big Data, visualizing streaming and mobile data, and mining and;
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different types of data * Identify the basics of network mining and how to apply it to real-world data sets * Discover methods for detecting the;
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outputs. This monograph, Domain Driven Data Mining, is motivated by the real-world challenges to and complexities of the current KDD methodologies;
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A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and;
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, real-time, and predictive or prescriptive insights and recommendations. Educational data mining refers to the process of extracting useful;
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makers need up-to-date information to make timely and sound business decisions. A real-time data warehouse aims at decreasing the time it takes;
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in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object;
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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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mining for emerging applications, including adaptable malware detection, insider threat detection, firewall policy analysis, and real-time data;
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Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The;
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Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The;
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mining and the transforming of unstructured data into useful information Examines real time wireless medical data acquisition for today's;
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mining and the transforming of unstructured data into useful information Examines real time wireless medical data acquisition for today's;
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Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major;
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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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Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI;
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solving real problems using large, real-world data sets. Data Mining and Predictive Analytics, Second Edition: * Offers comprehensive coverage;
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