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PHP
Basic guide to learn the server-side programming Key features Comprehensive coverage of PHP with MySQL laying more stress on examples. The Book also covers HTML using practical example along with PHP and MySQL. Strictly in accordance of the syllabus covered under B.E./B.Tech for industrial and short-term training programs. Simple language, crystal clear approach, straightforward comprehensible presentation. Adopting user-friendly classroom lecture style. The concepts are duly supported by several examples. Description The book has been written in such a way that the concepts are explained in detail, giving adequate emphasis on examples. To make clarity of the programming examples, logic is e...
Android for Beginners
Build Android apps starting from zero programming experience DESCRIPTION The book has been written in such a way that the concepts are explained in detail, giving adequate emphasis on examples. To make clarity of the programming examples, logic is explained properly as well as discussed using comments in program itself. The book covers the topics right from the Introduction of the Android Studio and writing programs into it. The Android topics are discussed in detail taking into consideration the practical examples from simple to complex for the better understanding of students. Various sample practical exercises are included in the Book and their solutions so as to give students the basic i...
Predictive Intelligence Using Big Data and the Internet of Things
With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time. Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.
Intelligent Data Analysis
This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.
Semantic IoT: Theory and Applications
This book is focused on an emerging area, i.e. combination of IoT and semantic technologies, which should enable breaking the silos of local and/or domain-specific IoT deployments. Taking into account the way that IoT ecosystems are realized, several challenges can be identified. Among them of definite importance are (this list is, obviously, not exhaustive): (i) How to provide common representation and/or shared understanding of data that will enable analysis across (systematically growing) ecosystems? (ii) How to build ecosystems based on data flows? (iii) How to track data provenance? (iv) How to ensure/manage trust? (v) How to search for things/data within ecosystems? (vi) How to store d...
Machine Learning with Health Care Perspective
This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.
Basics of Python Programming
Mastering the Python fundamentals with practical examples KEY FEATURES ● The book takes a beginner-friendly approach with practical examples, multiple choice questions, and solved exercises to help readers understand Python better. ● The book maintains clear explanations with concise chapters, making it suitable for those new to programming. ● This edition also covers NumPy for array manipulations and complex problem-solving. It teaches how to use Tkinter to create user-friendly applications with interactive interfaces. DESCRIPTION The basics of Python are the book's main focus. With practical examples, students will understand the fundamentals of Python. This book is designed in a way...
ASP.NET and VB.NET in 30 Days
Practice VB.NET & ASP.NET in simple steps KEY FEATURES ● VB.NET and ASP.NET topics are demonstrated with various examples in-depth. ● Includes detailed explanations of all VB.NET and ASP.NET programming statements. ● Numerous hands-on exercises demonstrating database and backend programming. DESCRIPTION The book teaches the essentials of VB.NET and Active Server Pages (ASP.NET) in about four weeks. This book promises to be an excellent resource for novices interested in learning the essentials of ASP.NET, VB.NET, Windows applications, and online apps. Using examples, this book teaches how to declare variables, operators, and control statements in C++. Standard window controls like List...
Educational Data Mining with R and Rattle
Educational Data Mining (EDM) is one of the emerging fields in the pedagogy and andragogy paradigm, it concerns the techniques which research data coming from the educational domain. EDM is a promising discipline which has an imperative impact on predicting students' academic performance. It includes the transformation of existing, and the innovation of new approaches derived from multidisciplinary spheres of influence such as statistics, machine learning, psychometrics, scientific computing etc.An archetype that is covered in this book is that of learning by example. The intention is that reader will easily be able to replicate the given examples and then adapt them to suit their own needs ...
Intelligent Distributed Computing
This book contains a selection of refereed and revised papers of the Intelligent Distributed Computing Track originally presented at the third International Symposium on Intelligent Informatics (ISI-2014), September 24-27, 2014, Delhi, India. The papers selected for this Track cover several Distributed Computing and related topics including Peer-to-Peer Networks, Cloud Computing, Mobile Clouds, Wireless Sensor Networks, and their applications.
