Databases.
Overview
Works: | 81 works in 55 publications in 55 languages |
---|
Titles
Database support for data mining applications :discovering knowledge with inductive queries /
by:
(Language materials, printed)
Business plans handbook.a compilation of actual business plans developed by small businesses throughout North America /Volume 5
by:
(Electronic resources)
Database support for data mining applicationsdiscovering knowledge with inductive queries /
by:
(Electronic resources)
Querying databases privatelya new approach to private information retrieval /
by:
(Electronic resources)
Applied Oracle security :developing secure database and middleware environments
by:
(Electronic resources)
From active data management to event-based systems and morepapers in honor of Alejandro Buchmann on the occasion of his 60th birthday /
by:
(Electronic resources)
Soft computing applications for database technologiestechniques and issues /
by:
(Electronic resources)
Transactions on large-scale data- and knowledge-centered systems IVspecial issue on database systems for biomedical applications /
by:
(Electronic resources)
Intelligent multimedia databases and information retrievaladvancing applications and technologies /
by:
(Electronic resources)
Transactions on large-scale data- and knowledge-centered systems XVIIIspecial issue on database- and expert-systems applications /
by:
(Electronic resources)
Transactions on large-scale data- and knowledge-centered systems XIXSpecial Issue on Big Data and Open Data /
by:
(Electronic resources)
Scalable big data architecturea practitioner's guide to choosing relevant big data architecture /
by:
(Electronic resources)
Transactions on large-scale data- and knowledge-centered systems XXIVspecial issue on database- and expert-systems applications /
by:
(Electronic resources)
The data bonanzaimproving knowledge discovery for science, engineering, and business /
by:
(Electronic resources)
Database magic :using databases to teach curriculum in grades 4-12 /
by:
(Language materials, printed)
Transactions on large-scale data- and knowledge-centered systems XXVIIIspecial issue on database- and expert-systems applications /
by:
(Electronic resources)
Database systems :models, languages, design, and application programming /
by:
(Language materials, printed)
Efficient biometric indexing and retrieval techniques for large-scale systems
by:
(Electronic resources)
Transactions on large-scale data- and knowledge-centered systems XXXIVspecial issue on consistency and inconsistency in data-centric applications /
by:
(Electronic resources)
From database to cyber securityessays dedicated to Sushil Jajodia on the occasion of his 70th birthday /
by:
(Electronic resources)
Pro Oracle Database 18c Administrationmanage and safeguard your organization's data /
by:
(Electronic resources)
Data-intensive systemsprinciples and fundamentals using Hadoop and Spark /
by:
(Electronic resources)
Beginning database programming using ASP. NET Core 3with MVC, Razor Pages, Web API, jQuery, Angular, SQL Server, and NoSQL /
by:
(Electronic resources)
Handbook of research on engineering innovations and technology management in organizations
by:
(Electronic resources)
Transactions on large-scale data- and knowledge-centered systems XLVIIspecial issue on digital ecosystems and social networks /
by:
(Electronic resources)
Transactions on large-scale data- and knowledge-centered systems XLVIIISpecial Issue In Memory of Univ. Prof. Dr. Roland Wagner /
by:
(Electronic resources)
Azure Data Factory by examplepractical implementation for data engineers /
by:
(Electronic resources)
Handbook of research on applied data science and artificial intelligence in business and industry
by:
(Electronic resources)
The Azure data lakehouse toolkitbuilding and scaling data lakehouses on azure with Delta Lake, Apache Spark, Databricks, Synapse Analytics, and Snowflake /
by:
(Electronic resources)
SQL server database programming with Javaconcepts, designs and implementations /
by:
(Electronic resources)
Data science fundamentals and practical approachesunderstand why data science is the next /
by:
(Electronic resources)
Data science and machine learning interview questions using Rcrack the data scientist and machine learning engineers interviews with ease /
by:
(Electronic resources)
Practitioner's guide to data sciencestreamlining data science solutions using Python, scikit-learn, and Azure ML service platform /
by:
(Electronic resources)
Azure data factory by examplepractical implementation for data engineers /
by:
(Electronic resources)
Show more
Fewer
Subjects