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Data Science

2 comprehensive manuscripts in 1 book Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics;

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Data Mining and Big Data

The LNCS volume LNCS 9714 constitutes the refereed proceedings of the International Conference on Data Mining and Big Data, DMBD 2016;

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Principles of Data Mining

The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics;

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Contrast Data Mining

A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and;

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Life Science Data Mining

This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts;

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Life Science Data Mining

This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts;

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Data Science and Security

learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing and;

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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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Machine Interpretation Of Patterns

in various areas of pattern recognition, image processing, machine learning, soft computing, data mining and web intelligence.Machine Interpretation;

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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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Utilizing Educational Data Mining Techniques for Improved Learning

intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational institutes can be used. By utilizing data science;

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Utilizing Educational Data Mining Techniques for Improved Learning

intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational institutes can be used. By utilizing data science;

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Spatial Data Mining

edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science;

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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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Data Mining

This book constitutes the refereed proceedings of the 16th Australasian Conference on Data Mining, AusDM 2018, held in Bathurst, NSW;

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Data Science

This book, Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big 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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Mining Text Data

in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data;

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Mining Text Data

in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data;

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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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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable;

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Computational Medicine in Data Mining and Modeling

further the knowledge in the medical domain. The authors focus on applying data mining to the medical domain, including mining the sets;

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Recent Advances on Soft Computing and Data Mining

the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to;

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Data Preprocessing in Data Mining

Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process;

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Learn Data Mining Through Excel

Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Software tools and programming;

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