Data capture and analysis

HEP data structure systems, such as ADAMO, BOS, CHEETAH, JAZELLE, ZEBRA, etc.

This book focuses on the modern nuclear models and computer codes used in nuclear model calculations of nuclear data required for nuclear technology and nuclear safety applications.

This workshop followed the First International Conference, which was hosted by Fermilab, on 26-28 October, 1994.

At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made.

Molecular biology and genetics are fast-growing fields with significant results and findings being reported virtually every day.

This volume deals with the following topics: 2-D, 3-D automata and grammars, parallel architecture for image processing, parallel digital geometry algorithms, data allocation strategies for parallel image processing algorithms, complexity analysis of parallel image operators.

Advances in Information Storage Systems (AISS) series was initiated by ASME Press.

This book contains a selection of papers presented at the Fourth International Workshop on Parallel Image Analysis, held at the Laboratoire de l'Informatique du Parallelisme of the Ecole Normale Superieure de Lyon, France.

This book provides an up-to-date study of the fundamental facets of supporting information technologies: organisation and people, data and information, presentation of information, and process.

This book collects the research work of leading-edge researchers and practitioners in the areas of analysis, synthesis, design and implementation of real-time systems with applications in various industrial fields.

This book covers the principles, methodology, and prototypes of sensing skin-like devices and related intelligence and software.

The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the next few years.

Exotic methods refer to specific functions within general soft computing methods such as genetic algorithms, neural networks and rough sets theory.

The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the coming years.

This book is the culmination of three years of research effort on a multidisciplinary project in which physicists, mathematicians, computer scientists and social scientists worked together to arrive at a unifying picture of complex networks.

This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts of heterogeneous multi-modal, multi-scale data for emerging real-world applications in life science.

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique.

The main goal of the new field of data mining is the analysis of large and complex datasets.

Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute.

Poor data quality is known to compromise the credibility and efficiency of commercial and public endeavours.

Online social networking sites like Facebook, LinkedIn, and Twitter, offer millions of members the opportunity to befriend one another, send messages to each other, and post content on the site - actions which generate mind-boggling amounts of data every day.

There is a lack of an exposition on interdisciplinary and innovative methods of data mining and visualization for biodata.

This book provides a comprehensive introduction on opinion analysis for online reviews.

Keyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions.

This unique volume is an introduction for computer scientists, including a formal study of theoretical algorithms for Big Data applications, which allows them to work on such algorithms in the future.

Este libro presenta una introducción a los sistemas de bases de datos en su contenido inicial, a fin de exponer las características que diferencian los sistemas de bases de datos con los sistemas de información basados en archivos, e identificar las funciones y roles esenciales de un Sistema de Gestión de Bases de Datos: SGBD (DBMS: Data Base Management Systems).

The publication introduces the foundations of natural language analyses and showcases studies that have applied NLP techniques to make progress on the Sustainable Development Goals.

This report is the 5th edition of ADB's A Comparative Analysis of Tax Administration in Asia and the Pacific.

This report is a key resource for understanding the dynamic trade and production linkages of South and Central Asian economies to support data-driven policy making and implementation.

This report is a key resource for understanding the dynamic trade and production linkages of East Asian economies to support data-driven policy making and implementation.

The Sustainable Development Goals (SDGs) set global, big-picture targets that nations have committed to attaining.

The Key Indicators for Asia and the Pacific 2020, the 51st edition of this series, includes the latest available economic, financial, social, and environmental indicators for the 49 regional members of the Asian Development Bank.

This edited volume offers critical reflections on an essential component of research method in the field of second language acquisition - data.

HR Analytics no es una moda o tendencia, Es el tema clave del presente y el futuro de la gestión de personas que llegó para quedarse.

Big Data (grandes volúmenes de datos o macrodatos) supone la confluencia de una multitud de tendencias tecnológicas que venían madurando desde la primera década del siglo cuando han explosionado e irrumpido con gran fuerza en organizaciones y empresas, en particular, y en la sociedad, en general.

Add an extra dimension to your maps.

Der Traum, die eigene Arbeit zu automatisieren und einfach die Füße hochzulegen, ist wahrscheinlich jedem Entwickler schon einmal durch den Kopf geschossen.

Die Big-Data-Welt verändert sich.

Rodion Alukhanov beschäftigt sich in diesem shortcut mit der Datenverarbeitung in der Java-Softwareentwicklung.

Big Data ist Chance und große Herausforderung zugleich, vor allem aber ist es ein schwer zu fassender und zu beschreibender Begriff.

Big Data ist Chance und große Herausforderung zugleich, vor allem aber ist es ein schwer zu fassender und zu beschreibender Begriff.

Die praktische Anleitung für den Umgang mit großen Datenmengen:- Stets aktuelle Auswertungen umfangreicher externer Daten- Anschauliche Anleitungen mit Beispielen zum DownloadSie benötigen laufend aktuelle Daten aus externen Quellen?

Sie möchten ohne Programmierkenntnisse große Datenmengen abrufen und aufbereiten?

Software steuert, was ein Software gesteuertes Gerät tut und wie es das tut.

If you know how to program, you have the skills to turn data into knowledge.

Die Anwendung von Messgeräten und die Kenntnis von Messverfahren sind bei der immer umfangreicher werdenden Arbeit in Beruf und Praxis der Elektronik unentbehrlich.