Mathematical & statistical software (52)

publisher: Springer
year: 2017
description:Sentiment analysis research has been started long back and recently it is one of the demanding research topics.  Research activities on Sentiment Analysis in natural language texts and other media are gaining ground with full swing. But, till date, n...

publisher: Springer
year: 2016
description:Program for data analysis using R and learn practical skills to make your work more efficient. This book covers how to automate running code and the creation of reports to share your results, as well as writing functions and packages. Advanced R is n...

publisher: Springer
year: 2018
description:This book discusses the latest advances in algorithms for symbolic summation, factorization, symbolic-numeric linear algebra and linear functional equations. It presents a collection of papers on original research topics from the Waterloo Workshop on...

publisher: Springer
year: 2016
description:This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields. The unifying theme of the different chapters in the book ...

publisher: Springer
year: 2016
description:This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they...

publisher: Springer
year: 2007
description:Il volume si propone di fornire una prima introduzione alla teoria elementare dei numeri, rivolta agli insegnanti (e ai futuri insegnanti) di matematica. Esso vuole costituire un invito e una preparazione per la lettura di opere più impegnative di cu...

publisher: Springer
year: 2017
description:The book provides a description of the process of health economic evaluation and modelling for cost-effectiveness analysis, particularly from the perspective of a Bayesian statistical approach. Some relevant theory and introductory concepts are prese...

publisher: Springer
year: 2017
description:This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016, Florence, Italy, June 19-21. The meeting provided a unique opportunity for young researchers, M.S. students, Ph.D. studen...

publisher: Springer
year: 2017
description:This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strateg...

publisher: Springer
year: 2016
description:This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analyt...

publisher: Springer
year: 2017
description:This book introduces academic researchers and professionals to the basic concepts and methods for characterizing interdependencies of multiple time series in the frequency domain. Detecting causal directions between a pair of time series and the exte...

publisher: Springer
year: 2018
description:This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of...