The widespread use of XML in business and scientific databases has prompted the development of methodologies, techniques, and systems for effectively managing and analyzing XML data.
Data mining is still a relatively young field, expanding at the rate of technology while advancing tools and techniques for gaining knowledge, finding patterns, and managing databases.
Organizations that utilize data mining techniques can amass valuable information on clients' habits and preferences, behavior patterns, purchase patterns, sales patterns, and stock forecasts.
Websites are a central part of today's business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses.
Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications.
This book constitutes the proceedings of the 28th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2026, held in Graz, Austria, during August 11–13, 2026.
This book constitutes the proceedings of the 28th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2026, held in Graz, Austria, during August 11–13, 2026.
This updated and expanded second edition has the same theme as the first: the price, the number, someone puts on a product to help consumers decide to buy that product, comes from statistically modeling data.
Use AWS Glue to integrate growing data sources with serverless ETL, building secure, observable pipelines that support reliable analytics while managing performance and cost across a governed AWS data platform as workloads growKey FeaturesUse runnable code, console walkthroughs, and downloadable examples for core AWS Glue workflowsApply DataOps practices with AWS CDK, Docker, and CI/CD in real-world scenariosLearn from six data specialists with AWS, Spark, Apache Iceberg, and data lake expertiseBook DescriptionWhether you build data pipelines, design cloud architectures, or deliver analytics on AWS, bringing data together is only part of the challenge.
Learn supervised machine learning for tabular data using Python, pandas, scikit-learn, CatBoost, LightGBM, XGBoost, TabPFN, and TabICL for regression, classification, and predictive modelingKey FeaturesExplore, clean, and prepare tabular datasets for machine learning workflowsBuild regression and classification models using modern machine learning toolsImprove predictions with calibration, conformal intervals, and optimization techniquesBook DescriptionMaster the essential tools and techniques for supervised machine learning on tabular data with this practical guide to regression and classification.
Use AWS Glue to integrate growing data sources with serverless ETL, building secure, observable pipelines that support reliable analytics while managing performance and cost across a governed AWS data platform as workloads growKey FeaturesUse runnable code, console walkthroughs, and downloadable examples for core AWS Glue workflowsApply DataOps practices with AWS CDK, Docker, and CI/CD in real-world scenariosLearn from six data specialists with AWS, Spark, Apache Iceberg, and data lake expertiseBook DescriptionWhether you build data pipelines, design cloud architectures, or deliver analytics on AWS, bringing data together is only part of the challenge.
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 for use in various fields of application, including business, finance, environmental science, engineering and health.
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 for use in various fields of application, including business, finance, environmental science, engineering and health.
This book systematically reviews XAI techniques and introduces how these XAI techniques can be systematically applied to SCM, including methodology, system architecture, and applications.
This book systematically reviews XAI techniques and introduces how these XAI techniques can be systematically applied to SCM, including methodology, system architecture, and applications.
This book systematically explores how to build reliable, cross-platform multimodal event detection systems that operate under open-world conditions in today's complex social media environment.
This book systematically explores how to build reliable, cross-platform multimodal event detection systems that operate under open-world conditions in today's complex social media environment.
This book constitutes revised papers from the International Workshops held at the 23rd International Conference on Business Process Management, BPM 2025, in Seville, Spain, during August 31-September 5, 2025.
This book constitutes revised papers from the International Workshops held at the 23rd International Conference on Business Process Management, BPM 2025, in Seville, Spain, during August 31-September 5, 2025.
This six-volume set LNAI constitutes the refereed proceedings of the 27th International Conference on Artificial Intelligence in Education, AIED 2026, held in Seoul, South Korea, during June 27–July 3, 2026.
This six-volume set LNAI constitutes the refereed proceedings of the 27th International Conference on Artificial Intelligence in Education, AIED 2026, held in Seoul, South Korea, during June 27–July 3, 2026.
The two-volume set LNCS constitutes the proceedings of the 37th International Conference on Database and Expert Systems Applications, DEXA 2026, held in Graz, Austria, in August 11–13, 2026.
The two-volume set LNCS constitutes the proceedings of the 37th International Conference on Database and Expert Systems Applications, DEXA 2026, held in Graz, Austria, in August 11–13, 2026.
This book constitutes the refereed post-conference proceedings of the 7th International Conference, on Science of Cyber Security, SciSec 2025, held in Wuhan, China, during August 15-17, 2025.
This book constitutes the refereed post-conference proceedings of the 7th International Conference, on Science of Cyber Security, SciSec 2025, held in Wuhan, China, during August 15-17, 2025.
Betriebliches Informations- und Wissensmanagement steht zunehmend vor der Herausforderung verteilte Datenbestände zusammenzuführen und sinnvoll zu vernetzen.
This volume constitutes the refereed proceedings of the 8th International Workshop on AI System Engineering: Math, Modelling and Software, AISys 2026 and the First International Workshop on Optimisation of Industrial Production with AI Algorithms, AI4IP, co-located with the 37th International Conference on Database and Expert Systems Applications, DEXA 2026, which took place in Graz, Austria, during August 11–13, 2026.
This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 14–16 July 2026 in Milan, Italy.
In uralten Spielen wie Schach oder Go können sich die brillantesten Spieler verbessern, indem sie die von einer Maschine produzierten Strategien studieren.
This volume constitutes the refereed proceedings of the 8th International Workshop on AI System Engineering: Math, Modelling and Software, AISys 2026 and the First International Workshop on Optimisation of Industrial Production with AI Algorithms, AI4IP, co-located with the 37th International Conference on Database and Expert Systems Applications, DEXA 2026, which took place in Graz, Austria, during August 11–13, 2026.
In uralten Spielen wie Schach oder Go können sich die brillantesten Spieler verbessern, indem sie die von einer Maschine produzierten Strategien studieren.
This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 14–16 July 2026 in Milan, Italy.
The two-volume set LNCS constitutes the proceedings of the 37th International Conference on Database and Expert Systems Applications, DEXA 2026, held in Graz, Austria, in August 11–13, 2026.
This book constitutes the refereed proceedings of the 13th CCF Conference on BigData 2025, which took place in Tianjin, China, during September 12–14, 2025.
This book constitutes the refereed proceedings of the 13th CCF Conference on BigData 2025, which took place in Tianjin, China, during September 12–14, 2025.
The volume includes a set of selected papers extended and revised from the 4th International conference on Knowledge Discovery and Data Mining, March 1-2, 2011, Macau, Chin.
The two-volume set LNCS constitutes the proceedings of the 37th International Conference on Database and Expert Systems Applications, DEXA 2026, held in Graz, Austria, in August 11–13, 2026.
Urban environments generate massive streams of spatio-temporal data, yet accurately predicting urban dynamics remains a fundamental challenge due to complex human mobility patterns, evolving environmental conditions, and distributional shifts across time and space.
Urban environments generate massive streams of spatio-temporal data, yet accurately predicting urban dynamics remains a fundamental challenge due to complex human mobility patterns, evolving environmental conditions, and distributional shifts across time and space.
