Data Processing

Social Network-Based Recommender Systems

Social Network-Based Recommender Systems

This book introduces novel techniques and algorithms necessary to support the formation of social networks. Concepts such as link prediction, graph patterns, recommendation systems based on user reputation, strategic partner selection, collaborative systems and network formation based on ‘social brokers’ are presented. Chapters cover a wide … Read More »

Haskell Data Analysis Cookbook

Haskell Data Analysis Cookbook

This book will take you on a voyage through all the steps involved in data analysis. It provides synergy between Haskell and data modeling, consisting of carefully chosen examples featuring some of the most popular machine learning techniques. You will begin with how to obtain and clean data from various sources. You will then learn how to … Read More »

Data Visualisation with R

Data Visualisation with R

This book introduces readers to the fundamentals of creating presentation graphics using R, based on 100 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series o… Read More »

Veracity of Big Data

Veracity of Big Data

Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V’s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockcha… Read More »

Words and Graphs

Words and Graphs

This is the first comprehensive introduction to the theory of word-representable graphs, a generalization of several classical classes of graphs, and a new topic in discrete mathematics. After extensive introductory chapters that explain the context and consolidate the state of the art in this field, including a chapter on hereditary classe… Read More »

Learning Probabilistic Graphical Models in R

Learning Probabilistic Graphical Models in R

Probabilistic graphical models (PGM, also known as graphical models) are a marriage between probability theory and graph theory. Generally, PGMs use a graph-based representation. Two branches of graphical representations of distributions are commonly used, namely Bayesian networks and Markov networks. R has many packages to implement graphic… Read More »

Learning QGIS, Third Edition

Learning QGIS, Third Edition

QGIS is a user-friendly open source geographic information system (GIS) that runs on Linux, Unix, Mac OS X, and Windows. The popularity of open source geographic information systems and QGIS in particular has been growing rapidly over the last few years. Learning QGIS Third Edition is a practical, hands-on guide updated for QGIS 2.14 that p… Read More »

Voice User Interface Design

Voice User Interface Design

Design and implement voice user interfaces. This guide to VUI helps you make decisions as you deal with the challenges of moving from a GUI world to mixed-modal interactions with GUI and VUI. The way we interact with devices is changing rapidly and this book gives you a close view across major companies via real-world applications and case s… Read More »

Learning Cassandra for Administrators

Learning Cassandra for Administrators

Apache Cassandra is a massively scalable open source NoSQL database. Cassandra is perfect for managing large amounts of structured, semi-structured, and unstructured data across multiple data centers and the cloud. Cassandra delivers linear scalability and performance across many commodity servers with no single point of failure. This book … Read More »

Optimizing Hadoop for MapReduce

Optimizing Hadoop for MapReduce

MapReduce is the distribution system that the Hadoop MapReduce engine uses to distribute work around a cluster by working parallel on smaller data sets. It is useful in a wide range of applications, including distributed pattern-based searching, distributed sorting, web link-graph reversal, term-vector per host, web access log stats, inverte… Read More »

Python Data Science Handbook

Python Data Science Handbook

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other r… Read More »

Instant Haml

Instant Haml

Haml is a markup language used to rapidly develop Rails view templates (or HTML pages). It is used by professional developers and praised for its cleanliness, human friendliness and usage agility. It functions as a replacement for inline page templating systems such as PHP, ASP, and ERB – the templating language used in most Ruby on Ra… Read More »

Learning D3.js Mapping

Learning D3.js Mapping

D3.js is a visualization library used for the creation and control of dynamic and interactive graphical forms. It is a library used to manipulate HTML and SVG documents based on data. A consolidated resource on obtaining geographic data, modifying it to your convenience, and visualizing it with augmented data using D3.js, this book will meet… Read More »

Architecting HBase Applications

Architecting HBase Applications

HBase is a remarkable tool for indexing mass volumes of data, but getting started with this distributed database and its ecosystem can be daunting. With this hands-on guide, you’ll learn how to architect, design, and deploy your own HBase applications by examining real-world solutions. Along with HBase principles and cluster deployment guide… Read More »

Learning Big Data with Amazon Elastic MapReduce

Learning Big Data with Amazon Elastic MapReduce

Amazon Elastic MapReduce is a web service used to process and store vast amount of data, and it is one of the largest Hadoop operators in the world. With the increase in the amount of data generated and collected by many businesses and the arrival of cost-effective cloud-based solutions for distributed computing, the feasibility to crunch la… Read More »


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