Thema Data Mining – alle Bücher, Seite 2

Roberto M Maranca
Data Excellence

Discover how to approach data leadership in a way that will steer organizations to deliver effective, improved and sustained data performance in the era of AI.Data Excellence shows how data leaders can st…

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Ulrich Matter
An Introduction to Web Mining

Use R!

This book is devoted to the art and science of web mining --- showing how the world's largest information source can be turned into structured, research-ready data. Drawing on many years of teaching gradu…

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Reagan W. Moore
Trustworthy Communications and Complete Genealogies

Synthesis Lectures on Information Concepts, Retrieval, and Services

This book explains how all persons with Western European ancestry are related through a Unifying Ancestry. The author presents the knowledge metrics needed to derive the best representation for a Unifying…

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Cathy O'Neil
Weapons of Math Destruction

NEW YORK TIMES BESTSELLER • A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabric-with a new afterword"A manual for the twen…

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Denis Reis
SAP Analytics Cloud für Microsoft Office

SAP Press

Das Praxishandbuch zum Add-in von SAP Analytics CloudBringen Sie die Analyse- und Reporting-Funktionen von SAP Analytics Cloud in Ihre gewohnte Office-Umgebung! In diesem Handbuch zeigt Ihnen Denis Reis, …

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Nasir Salari
Advanced Marketing Analytics

This textbook is ideal for learning and understanding more advanced data and analytical techniques in marketing analytics. Advanced Marketing Analytics by Nasir Salari provides postgraduate students with …

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Stefan Sandfeld
Materials Data Science

The Materials Research Society Series

This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods an…

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Uwe Schmitz
Data Lakes

Das Buch bietet einen kompakten Überblick über Data Lakes und ihre vielfältigen Einsatzmöglichkeiten. Zielgruppe sind Studierende im Bachelor- und Masterstudium, IT-Mitarbeiter*innen und -Verantwortliche,…

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Gero Szepannek
Grundprinzipien des maschinellen Lernens

Was steckt hinter den Algorithmen der künstlichen Intelligenz?Künstliche Intelligenz und maschinelles Lernen halten zunehmend Einzug, in betrieblichen Anwendungen wie in der Forschung. Nicht alle Anwender…

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Y-h. Taguchi
Unsupervised Feature Extraction Applied to Bioinformatics

Unsupervised and Semi-Supervised Learning

This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have be…

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Ramesh S. V. Teegavarapu
Imputation Methods for Missing Hydrometeorological Data Estimation

Missing data is a ubiquitous problem that plagues many hydrometeorological datasets. Objective and robust spatial and temporal imputation methods are needed to estimate missing data and create error-free,…

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Gregor Thurmair
Knowledge-Driven Multilingual Text Analysis and Transparent Information Retrieval

Cognitive Technologies

This book presents all components and knowledge sources required for Transparent Information Retrieval. Depending on the respective topic and taking care of their interoperability, both deep and shallow t…

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Paul Turley
Microsoft Power Bi Data Analyst Associate Study Guide

Passing the PL-300 exam with 2025 revisions isn't just about memorization--you need to thoroughly know the basic features of Power BI. However, data professionals must also apply best practices that make …

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Vijayakumar P
Data Mining & Warehousing Tech Machine Learning Concepts

This unique compendium elaborates the basic perceptions of data warehouses and data mining. The former part of the book covers concepts like introduction to data warehouses, the need for using such data w…

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Shirui Wang, Wenyi Hu, Xuqing Wu, Jiefu Chen
Deep Learning for Seismic Data Enhancement and Representation

Advances in Oil and Gas Exploration & Production

Seismic imaging is a key component of subsurface exploration, and it depends on a high-quality seismic data acquisition system with effective seismic processing algorithms. Seismic data quality concerns v…

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Xun Yi, Xuechao Yang, Xiaoning Liu, Andrei Kelarev
Privacy Enhancing Techniques

This book provides a comprehensive exploration of advanced privacy-preserving methods, ensuring secure data processing across various domains. This book also delves into key technologies such as homomorph…

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Adaptive Instructional Systems

Lecture Notes in Computer Science - Band 15813

The two-volume set LNCS 15812-15813 constitutes the thoroughly refereed proceedings of the 7th International Conference on Adaptive Instructional Systems, AIS 2025, held as part of the 27th HCI Internatio…

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Adaptive Instructional Systems

Lecture Notes in Computer Science - Band 15812

The two-volume set LNCS 15812-15813 constitutes the thoroughly refereed proceedings of the 7th International Conference on Adaptive Instructional Systems, AIS 2025, held as part of the 27th HCI Internatio…

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Advanced Computing and Communications: Responsible AI

Communications in Computer and Information Science - Band 2461

This book constitutes the refereed proceedings of the 29th International Conference on Advanced Computing and Communications, ADCOM 2024, held in Bangalore, India, during December 18--20, 2024.The 21 full…

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Advanced Hybrid Information Processing

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Band 638

This four-volume set constitutes the post-conference proceedings of the 8th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2024, held in Jiaxing, China, during September 20-…

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