Java Data Object

This book explores the methodology behind online panels and addresses what should and should not be claimed about the validity of data that is generated by this rapidly growing mode of research. Onlin

The rapid advancement of sequencing techniques, coupled with the new methodologies of bioinformatics to handle large-scale data analysis, are providing exciting opportunities for us to understand micr

Big data is an essential key to build a smart world as a meaning of the streaming, continuous integration of large volume and high velocity data covering from all sources to final destinations. The bi

The numeric values retrieved from a data warehouse may be difficult for business users to interpret, and may even be interpreted incorrectly. Therefore, in order to better ?understand numeric values,

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 r

This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but al

"This book highlights the advantages of using data envelopment analysis as a tool to improve business performances and identifying the source of inefficiency in public and private organizations"--Prov

Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. As scale and demand increase, so does Complexity. For

This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The bo

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly ap

HTML5 Server Side Events (SSE) allow the server to push new data to clients, providing a superior solution to having the client poll for new data every few seconds. Presently 60% of desktop and mobile

A fresh look at the disastrous Java Sea Campaign of 1941–42 which heralded a wave of Japanese naval victories in the Pacific but which eventually sowed the seeds of their eventual change in fortunes.

Learn the skills needed for the most in-demand tech jobHarvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly

Computer scientists and electrical engineers present an advanced graduate textbook on the main methods, tools, and techniques for microarray image and data analysis. The topics include gridding method

Although over 70 countries have developed data privacy laws, there is a lack of expert guidance on these laws. This text is the first to examine the fundamental aims and principles of data privacy law

"The era of Big Data as arrived, and most organizations are woefully unprepared. Slowly, many are discovering that stalwarts like Excel spreadsheets, KPIs, standard reports, and even traditional busin

《華職教育·2014年全國高等教育自學考試創新型試卷系列：Java語言程序設計（一）階梯式突破試卷》

《Java程序設計案例教程（第2版）/21世紀高等學校規劃教材·計算機應用》通過淺顯易懂的案例把讀者在學

《Java程序設計基礎實驗指導(中國高等學校信息管理與信息系統專業規劃教材)》

This practical book helps biomedical and epidemiological researchers extend their knowledge and skills in the analysis of standard time-to-event data to the competing risks setting. The author explain

This book is unique in its ambitious and comprehensive coverage of earth system land surface characterization, from observation and modeling to data assimilation, including recent developments in theo

Risk has always been central to finance, and managing risk depends critically on information. As evidenced by recent events, the need has never been greater for skills, systems and methodologies to manage risk information in financial markets. Authored by leading figures in risk management and analysis, this handbook serves as a unique and comprehensive reference for the technical, operational, regulatory and political issues in collecting, measuring and managing financial data. It is targeted towards a wide range of audiences, from financial industry practitioners and regulators responsible for implementing risk management systems, to system integrators and software firms helping to improve such systems. Volume 2 describes a structural and operational framework for managing a financial risk data repository. As experience accumulates on managing modern risk systems, the knowledge base of practical lessons grows. Understanding these issues and leading practices may mean the difference b

This contributed volume explores how data mining, machine learning, and similar statistical techniques can analyze the types of problems arising from Traditional Chinese Medicine (TCM) research. The b

This book guides animal ecologists, biologists and wildlife and data managers through a step-by-step procedure to build their own advanced software platforms to manage and process wildlife tracking da

The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given t

This modern introduction to seismic data processing in both exploration and global geophysics demonstrates practical applications through real data and tutorial examples. The underlying physics and mathematics of the various seismic analysis methods are presented, giving students an appreciation of their limitations and potential for creating models of the sub-surface. Designed for a one-semester course, this textbook discusses key techniques within the context of the world's ever increasing need for petroleum and mineral resources - equipping upper undergraduate and graduate students with the tools they need for a career in industry. Examples presented throughout the text allow students to compare different methods and can be demonstrated using the instructor's software of choice. Exercises at the end of sections enable students to check their understanding and put the theory into practice and are complemented by solutions for instructors and additional case study examples online to c

For this second edition, the author, an automotive engineering consultant to the motor racing industry, takes into account recent sporting regulations that limit data acquisition, stressing the import

Learn efficient ways to harness and manage your data storage networksWhether you're preparing for the CompTIA Storage+ exam or simply seeking a deeper understanding of data storage networks, this Sybe

Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and

Longitudinal data analysis and survival analysis are among the fastest expanding areas of statistics and biostatistics in the past thirty years. There has been a rapidly growing interest in joint mode

EUROPEAN MARKETING DATA AND STATISTICS 2013 presents comparable demographic, economic and marketing statistics for 44 European countries. Statistics researched range from advertising, health, media an

Handbook of Big Data Analytics in Life Sciences

With easy-to-use templates and teacher-friendly protocols, this book provides a systematic process for translating data into classroom practice in cycles of two to nine weeks.

Many fundamentally important decisions about our social life are a function of how well we understand and analyze DATA. This sounds so obvious but it is so misunderstood. Social statisticians struggle

Many fundamentally important decisions about our social life are a function of how well we understand and analyze DATA. This sounds so obvious but it is so misunderstood. Social statisticians struggle

Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data stra

Big data requires big security; here's what you need to knowBig data has taken hold and has created the need for bigger and better security. Until now trust has not been the highest priority and sec

Uncover hidden patterns of data and respond with countermeasuresSecurity professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attac

Big Data is defined as "a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools". The challenges include capture, storage, search, s

《Java EE工程師零起點培訓系列：面向對象技術與UML》為中南大學精品教材立項項目，分為上下兩篇共21章，涵蓋了面向對象技術中Java開發環境配置、程序設計基礎、面向對象原理以及UMI。的知識。《Java EE工程師零起點培訓系列：面向對象技術與UML》使