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Java Data Mining: Strategy, Standard, and Practice
Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component. This book is the essential guide to the usage of the JDM standard interface, written by contributors to the JDM standard. - Data mining introduction - an overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems - JDM essentials - concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects - JDM in practice - the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API - Free, downloadable KJDM source code referenced in the book available here
R for Business Analytics
This book examines common tasks performed by business analysts and helps the reader navigate the wealth of information in R and its 4000 packages to create useful analytics applications. Includes interviews with corporate users of R, and easy-to-use examples.
The Copyright Law of Spatial Data
This book provides a thorough comparative analysis of copyright protection of spatial data across Australia, the United States of America (USA), and the European Union. With the emergence of terrestrial scanners, drones, robotics, and artificial intelligence (AI), the acquisition of data has recently reshaped the landscape of the survey industry, highlighting the importance of protecting the intellectual rights of surveyors. This book investigates the distinct approaches taken by each jurisdiction in protecting copyrights in spatial data and explores commonalities and disparities between these jurisdictions, highlighting best practices. The book also explores the alternative means of protecting spatial data and provides final recommendations aimed at policymakers, with the overarching objective of nurturing a balanced copyright system. This book will be of interest to students and scholars in the field of copyright law and spatial data.
Advanced Information Systems Engineering
This book constitutes the refereed proceedings of the 17th International Conference on Advanced Information Systems Engineering, CAiSE 2005, held in Porto, Portugal in June 2005. The 39 revised full papers presented were carefully reviewed and selected from 282 submissions. The papers are organized in topical sections on conceptual modeling, metamodeling, databases, query processing, process modeling and workflow systems, requirements engineering, model transformation, knowledge management and verification, Web services, Web engineering, software testing, and software quality.
Intelligent Autonomous Systems 7
The goal of the Seventh International Conference on Intelligent Autonomous Systems (IAS-7) was to exchange and stimulate research ideas that make future robots and systems more intelligent and autonomous. This volume of proceedings contains 71 technical papers by authors from 15 countries.
Advances in Plan-Based Control of Robotic Agents
In recent years, autonomous robots, including Xavier, Martha [1], Rhino [2,3], Minerva,and Remote Agent, have shown impressive performance in long-term demonstrations. In NASA’s Deep Space program, for example, an - tonomous spacecraft controller, called the Remote Agent [5], has autonomously performed a scienti?c experiment in space. At Carnegie Mellon University, Xavier [6], another autonomous mobile robot, navigated through an o?ce - vironment for more than a year, allowing people to issue navigation commands and monitor their execution via the Internet. In 1998, Minerva [7] acted for 13 days as a museum tourguide in the Smithsonian Museum, and led several thousand people through an exh...
Internet-enabled Business Intelligence
William Giovinazzo gives experienced database professionals practical guidance for every aspect of planning and deploying Web-based data warehouses -- and leveraging them for competitive advantage. Unlike previous books, The Web-Enabled Data Warehouse covers all the enabling technologies and analysis approaches you need to know about -- from XML to CRM, Java to customer profiling. Giovinazzo begins by introducing the compelling advantages of integrating business intelligence and data warehouses with Web technology. He reviews the business and technical contexts in which the Web-enabled data warehouse will operate; shows how to build and optimize data warehouse infrastructure, and presents in...
Common Warehouse Metamodel
Das Common-Warehouse-Metamodell (CWM) ist eine XML-basierte Technologie zum Datenaustausch aus Quellen jeder Art, unabhängig von der Plattform des Anbieters. Geschrieben von den Autoren der CWM-Spezifikation, bietet Ihnen dieses Buch eine gut verständliche Einführung in das Thema. Erklärt wird, wie Geschäftsbereiche mit Hilfe von CWM effizienter arbeiten können und mit welchen praktischen Schritten man CWM plant, implementiert und einführt. Sie erhalten einen Überblick über die Architektur von CWM und sehen, wie die einzelnen Komponenten in existierende Datenbanken und Data-Warehouse-Architekturen integriert werden können. Mit zugehöriger Website.
Data Science – Analytics and Applications
Organizations have moved already from the rigid structure of classical project management towards the adoption of agile approaches. This holds also true for software development projects, which need to be flexible to adopt to rapid requests of clients as well to reflect changes that are required due to architectural design decisions. With data science having established itself as corner stone within organizations and businesses, it is now imperative to perform this crucial step for analytical business processes as well. The non-deterministic nature of data science and its inherent analytical tasks require an interactive approach towards an evolutionary step-by-step development to realize cor...
Clean Coal Technology Demonstration Program
The Clean Coal Technology Demonstration (CCT Program), a model of government & industry cooperation, advances the Dept. of Energy's (DoE) mission to foster a secure & reliable energy system that is environmentally & economically sustainable. This report discusses the Fiscal Year 2000 CCT Program. Sections include: role of the CCT Program; program implementation; funding & costs; CCT Program accomplishments; CCT projects; historical perspective & legislative history; program history; environmental aspects; CCT project contacts; acronyms, abbreviations & symbols; & index of CCT projects & participants.
