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Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis.
Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models.
This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of... Læs mere
Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Mining Text Data introduces an important niche in the text analytics... Læs mere
In a nutshell, we identify at least three reasons for the success of SVMs: their ability to learn well with only a very small number of free parameters, their robustness against... Læs mere
The first part will review several basic concepts and methods related to collective view prediction, such as state-of-the-art recommender systems, sentimental... Læs mere
We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research.
The techniques and methods presented for knowledge elicitation, model construction and verification, modeling techniques and... Læs mere
This text integrates different mobility data handling processes, from database management to multi-dimensional analysis and mining, into a unified presentation driven by the spectrum of requirements raised by real-world applications.
Data analysts, statisticians, computer scientists-indeed anyone who has to explore a large dataset of their own-should benefit from reading this book.New... Læs mere
This book introduces R using SAS and SPSS terms with which you are already familiar. The programs and practice datasets are available for download.The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon.