Databases And Data Mining – alle Bücher, Seite 4

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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Mariano Mattei
Data-Driven Cybersecurity

Measure, improve, and communicate the value of your security program.Every business decision should be driven by data---and cyber security is no exception. In Data-Driven Cybersecurity , you'll master the…

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David Langer
Python in Excel Step-By-Step

An intuitive guide for professionals wanting to prepare for the future of Microsoft Excel by building Python in Excel skills and unleashing the power of their data.A hands-on guide to the foundational Pyt…

lieferbar ab 3.2.2026.

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Advances in Databases and Information Systems

.- Keynote Talk..- Data Quality (Assessment) in the Age of AI..- Query Optimization..- Independence Rules: Analysis of Nine Simple Cardinality Estimators and Their Impact on Plan Quality..- Vector Databas…

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New Trends in Database and Information Systems

This book constitutes short papers, Doctoral Consortium and workshop papers which were presented at the 29th European Conference on New Trends in Databases and Information Systems, ADBIS 2025, which took …

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Supervised and Unsupervised Statistical Data Analysis

The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical res…

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Chad Sanderson, Mark Freeman, B E Schmidt
Data Contracts

Poor data quality can cause major problems for data teams, from breaking revenue-generating data pipelines to losing the trust of data consumers. Despite the importance of data quality, many data teams st…

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Navnit Shukla, Kien Pham, Srikanth Sopirala, Harsha Tadiparthi
Ai-Ready Data Blueprints

Companies innovating with generative AI understand that having the right data foundation is critical for success and profitability. To best position themselves for long-term success, organizations must pr…

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Stefan Sandfeld
Materials Data Science

Introduction to Data, Data Mining, and Prediction in Materials Science.- A Primer on Probabilities, Distributions and Statistics.- Introduction to Statistical Machine Learning.- Artificial Neural Networks…

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Jay Borthen
Building Data Integration Solutions

Are you struggling to manage and make sense of the vast streams of data flowing into your organization? In today's data-driven world, the ability to effectively unify and organize disparate data sources i…

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Tyler Suard
Enterprise Rag

Free PDF and epub formats plus online reader with AI assistant.Retrieval Augmented Generation, or RAG, is the gold standard for using domain-specific data, such as internal documentation or company databa…

lieferbar ab 28.4.2026.

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Modeling, Simulation and Computer Technology

.- A Secure and Energy-Efficient IoT Protocol for Smart Cities Using Fuzzy Logic and Blockchain Technology..- Building a secure enterprise network: a blueprint for SDP and SDN Integration..- A Comparative…

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Shiyan Xu, Prashant Wason, Bhavani Sudha Saktheeswaran, Rebecca Bilbro
Apache Hudi: The Definitive Guide

Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi. With this practical guide, data engineers, data architects, and software architects will discover ho…

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Anatoly Zelenin, Alexander Kropp
Apache Kafka in Action

Apache Kafka, start to finish.Apache Kafka in Action: From basics to production guides you through the concepts and skills you'll need to deploy and administer Kafka for data pipelines, event-driven appli…

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Charity Majors, Liz Fong-Jones, George Miranda
Observability Engineering

Observability is the only way to engineer, manage, and improve the business-critical systems that customers depend on every day--and as the complexity of software grows, so does the need for observability…

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Frontiers in Statistical Quality Control 14

This book examines major areas of statistical quality control, with a focus on sharing insights into important new developments in the field and adapting established statistical quality control methods fo…

lieferbar ab 6.2.2026.

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Martin A. Bader, Oliver Gassmann, Mark James Thompson
Patent Management

Management for Professionals

Innovation must translate into tangible value to sustain competitive advantage. As AI accelerates invention and global patenting shifts eastward, managing intellectual property (IP) is now as vital as ove…

lieferbar ab 5.2.2026.

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Nicholas Kelly
The Ai-Driven Data Team

Rapidly transform your analytics teams to deliver AI-driven insights. The AI-driven Data Team by Nicholas Kellyis a proven-to-work playbook for data and analytics leaders who want to align analytics capab…

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Computer Science - CACIC 2024

This book constitutes the refereed proceedings of the 30th Argentine Congress of Computer Science on Computer Science - CACIC 2024, held in La Plata, Argentina, during October 7--10, 2024.The 29 full pape…

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