Offered as an introduction to the field of data structures andalgorithms, Open Data Structures covers the implementation andanalysis of data structures for sequences (lists), queues, priorityqueues, u
A straightforward, full-color guide to showcasing data so your audience can see what you mean, not just read about itBig data is big news! Every company, industry, not-for-profit, and government agenc
The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered i
The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered i
Transform Big Data into Insight"In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solut
"Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods su
Here is a useful, practical guide to network programming for both undergraduates and busy IT professionals. This third edition has been fully updated to incorporate Java 7 compatibilityand features co
This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge
Learn how to build HTML5-based Android applications that use native Java components without needing 3rd party libraries and wrappers like PhoneGap or Titanium. You can reach needed native interfaces
Written for those with a science and engineering background, this book introduces and explains a comprehensive set of data mining techniques from various data mining fields. Concepts and methodologies
Web mining aims to discover useful information and knowledge from Web hyperlinks, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an
This is the first book to be published on the topic of data quality exploration, analytics and quantitative data cleaning. The author provides a sound technical grounding in the subject and shows read
Big Data Imperatives, focuses on resolving the key questions on every one's mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data?
Over 70 countries and various international organizations have adopted data protection and privacy laws that regulate the cross-border transfer of personal data outside their borders. In an era of glo
In Disruptive Possibilities: How Big Data Changes Everything, Jeff enlightens Fortune 500 enterprises about the Big Data ecosystem as they begin to channel their data from stranded silos into an acces
This book is focused on the development of a data integration framework for retrieval of biodiversity information from heterogeneous and distributed data sources. The data integration system proposed
One of a series of pocket-sized books that provide a quick reference to development data on different topics, 'The Little Data Book on Private Sector Development 2013' provides data for more than 20 k
Data Mining Mobile Devices, also known as "Reality Mining," defines the collection of machine-sensed environmental data pertaining to human social behavior. This new paradigm of data mining makes poss
As organizations deploy business intelligence and analytic systems to harness business value from their data assets, data governance programs are quickly gaining prominence. And, although data managem
The Oracle Press Guide to Big Data Analytics using RCowritten by members of the Big Data team at Oracle, this Oracle Press book focuses on analyzing data with R while making it scalable using Oracle’s
Provides examples of applications of object detection and recognition, along with the working examples of code for solutions to real computer vision problemsObject Detection and Recognition in Digital
《像計算機科學家一樣思考Java》作者基於自己在美國各所大學和學院講授計算機科學導論課程的經驗，開創了“像計算機科學家一樣思考（How to Think Like a Computer Scientist）”的教學理念和方法。《像計算機科學家一樣思考Java》正是基於這樣的方法，用全新的角度、豐富的實例全面地講解了Java語言。 全書共15章。第1章介紹了編程的基本知識，即什麼是編程以及如何編程。
This book offers a novel account of grace, framed in terms of Bruno Latour's "principle of irreduction." It thus models an object-oriented approach to grace, experimentally moving a traditional Christ
This book offers a novel account of grace, framed in terms of Bruno Latour's "principle of irreduction." It thus models an object-oriented approach to grace, experimentally moving a traditional Christ
The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contai
This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practic
Offering a self-contained introduction to data mining, this book presents the concepts, models and techniques for data mining in a well organized style. Both theoretical concepts and, especially, prac
This book introduces novice developers to a range of data access strategies for storing and retreiving data both locally and remotely. It provides you with a range of fully working data access solutio
This work identifies developmental stages in the acquisition of object pronouns by instructed second language learners of Spanish.It examines learners ranging from beginner to advanced, where the most
The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical
