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Data-Driven Process Discovery and Analysis

This book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and;

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Data Driven Process Discovery and Analysis

This book constitutes the thoroughly refereed proceedings of the Third International Symposium on Data-Driven Process Discovery and;

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Data-Driven Process Discovery and Analysis

This book constitutes the revised selected papers from the 7th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and;

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Data-Driven Process Discovery and Analysis

This book constitutes revised selected papers from the 8th and 9th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and;

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Data-Driven Process Discovery and Analysis

This book constitutes the revised selected papers from the 6th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and;

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Data Mining for Social Network Data

in world of data mining, knowledge discovery, social network analysis, and information infrastructures, and are anchored by Springer author/editor;

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Knowledge Discovery Process and Methods to Enhance Organizational Performance

Although the terms data mining and knowledge discovery and data mining (KDDM) are sometimes used interchangeably, data mining;

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Data Mining Methods for Knowledge Discovery

of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets;

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A Pharmacology Primer

A Pharmacology Primer: Techniques for More Effective and Strategic Drug Discovery, 4th Edition features the latest ideas and research;

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Scientific Discovery

Scientific discovery is often regarded as romantic and creative -- and hence unanalyzable -- whereas the everyday process of verifying;

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Machine Learning and Knowledge Discovery for Engineering Systems Health Management

data streams and associated performance metrics. It also illustrates the analysis of text reports using novel machine learning approaches that;

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Discovery And Fusion Of Uncertain Knowledge In Data

Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent;

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Accelerating Discovery

process for leveraging heterogeneous structured and unstructured data sources, data mining, and computational architectures to make the discovery;

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Accelerating Discovery

Unstructured Mining Approaches to Solve Complex Scientific Problems As the volume of scientific data and literature increases;

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Data Warehousing and Knowledge Discovery

Data warehousing and knowledge discovery has been widely accepted as a key te- nology for enterprises and organizations to improve their;

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Data Fusion Methodology and Applications

Data Fusion Methodology and Applications explores the data-driven discovery paradigm in science and the need to handle large amounts;

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Trends and Applications in Knowledge Discovery and Data Mining

Pacific-Asia Conference on Knowledge Discovery and Data Mining in May 2017 in Jeju, South Korea. The 17 revised papers presented were carefully;

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New Trends in Database and Information Systems: ADBIS 2021 Short Papers, Doctoral Consortium and Workshops

Knowledge, DOING 2021; International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2021; Workshop on Modern Approaches in Data;

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Principles of Data Wrangling

truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the;

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Big Data-driven World

, distinguished in the modern Digital Economy. The book studies the genesis of mathematical and information methods' transition from data analysis;

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Bioinformation Discovery

This new edition continues to illustrate the power of biological data in knowledge discovery. It describes biological data types and;

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Analysis of Large and Complex Data

component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis;

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ADBIS TPDL and EDA 2020 Common Workshops and Doctoral Consortium

Graphs, SKG 2020; Workshop of BI & Big Data Applications, BBIGAP 2020; International Symposium on Data-Driven Process Discovery and Analysis;

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Data-Driven Science and Engineering

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB (R), this textbook;

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Predictive Analysis with SAP: The Comprehensive Guide

explanations. Data Visualized Learn how to investigate large amounts of data via useful and comprehensive visualizations, and share the analysis with;

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Statistical Process Control Demystified

reduce variation in business processes using SPC--the powerful analysis tool for process evaluation and improvement. Statistical Process Control;

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Data-Driven Fault Detection and Reasoning for Industrial Monitoring

, professional practitioners and engineers working on engineering modeling and data processing applications. This is an open access book.;

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