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Predictive Intelligence for Data-Driven Managers

This book describes how companies can easily and pragmatically set up and realize the path to a data-driven enterprise, especially in the;

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Decision Support, Analytics, and Business Intelligence

The data-driven, global business environment requires increasingly sophisticated decision support, analytics and business intelligence;

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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;

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Artificial Intelligence Applications in a Pandemic

beneficial in understanding the pandemic. Presents the latest ideas developed for data scientists, doctors, engineers, and economists. Analyses the;

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Cyber IntelligenceDriven Risk

implications for information security that high-level actors may be unable to foresee. What we need is a cybersecurity command center capable;

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The Big Data-Driven Digital Economy

books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to;

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Artificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved;

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Artificial Intelligence for Data-Driven Medical Diagnosis

healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.;

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Business Intelligence Applied

find the valuable data in a timely-and competitive-fashion. Business Intelligence Applied reveals essential information for building an optimal;

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Business Intelligence and Data Warehousing

Business Intelligence and Data Warehousing deals with the main components of a data warehouse for business intelligence applications;

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Management and Supervision in Law Enforcement

seventh edition begins with a general overview of the policing profession to provide context for later discussions of the role of managers within;

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Management and Supervision in Law Enforcement

seventh edition begins with a general overview of the policing profession to provide context for later discussions of the role of managers within;

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Predictive Analysis with SAP: The Comprehensive Guide

), including data sets and parameter settings required for the analysis.;

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Business Intelligence

considerations for developing the BI roadmap, the platforms for analysis such as data warehouses, and the concepts of business metadata. Other chapters;

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Predictive Analytics, Data Mining and Big Data

Predictive analytics, data mining and big data are key topics for organizations who want to leverage the ever increasing amounts;

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Transforming Healthcare Analytics

intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications;

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Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation and Ensembles

Accurate predictions of storm surge are of importance in many coastal areas in the world to avoid and mitigate its destructive impacts. For;

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Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation and Ensembles

Accurate predictions of storm surge are of importance in many coastal areas in the world to avoid and mitigate its destructive impacts. For;

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Artificial Intelligence and Data Mining in Healthcare

compression, data clustering, and feature selection. The content will be valuable for researchers and postgraduate students in computer science;

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Predictive Analytics for Marketers

Predictive analytics has revolutionized marketing practice. It involves using many techniques from data mining, statistics, modelling;

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Context-Aware Machine Learning and Mobile Data Analytics

system is high, the automation in discovering rules from contextual raw data can make this book more impactful for the application developers as;

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Data Mining and Predictive Analysis

Analysis offers a clear, practical starting point for professionals who need to use data mining inhomeland security, security analysis, and;

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Utilizing Big Data Paradigms for Business Intelligence

data mining in everyday business environments is imperative to the success of modern businesses. Utilizing Big Data Paradigms for Business;

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IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning

This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT;

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Decision Trees for Business Intelligence and Data Mining

This example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, business;

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Artificial Intelligence and Machine Learning for EDGE Computing

of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering.

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