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Relational data mining is the data mining technique for relational databases. Unlike traditional data mining algorithms, which look for patterns in a single
Relational_data_mining
Topics referred to by the same term
the relational model Relational classification, the procedure of performing classification in relational databases Relational data mining, the data mining
Relational
loosely-structured information source and translates it into a relational form, so it can be processed as structured data. Wrapper induction is the problem of devising
Wrapper_(data_mining)
Finding and extracting information from semi-structured data sets
for data mining, which has traditionally been concerned with tabular data sets, reflecting the strong association between data mining and relational databases
Structure_mining
Learning logic programs from data
used inductive logic programming techniques from a viewpoint of relational data mining. The success of those initial applications and the lack of progress
Inductive_logic_programming
the relational database tables. This eliminates the need for extraction or transfer of data into standalone mining/analytic servers. The relational database
Oracle_Data_Mining
Maintenance of data over its entire life-cycle
of a piece of data, given a particular context. This includes topics such as referential integrity and entity integrity in a relational database or correctly
Data_integrity
Software engineering approach to designing and developing information systems
can contain structured data from relational databases, semi-structured data, unstructured data, and binary data. A data lake can be created on premises
Data_engineering
Suite of machine learning software written in Java
result returned by a database query. It is not capable of multi-relational data mining, but there is separate software for converting a collection of linked
Weka_(software)
Query language
SQL-like syntax. Whereas SQL statements operate on relational tables, DMX statements operate on data mining models. Similarly, Microsoft SQL Server supports
Data_Mining_Extensions
Real-world applications of data mining
Data mining, the process of discovering patterns in large data sets, has been used in many applications. Drone monitoring and satellite imagery are some
Examples_of_data_mining
Disciplines of managing data as a resource
of data. By the 1980s, relational database models revolutionized data management, emphasizing the importance of data as an asset and fostering a data-centric
Data_management
Field of study to extract knowledge from data
2015). "Spark SQL: Relational Data Processing in Spark". Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. ACM. pp. 1383–1394
Data_science
Processing mode
of business intelligence, which also encompasses relational databases, report writing and data mining. Typical applications of OLAP include business reporting
Online_analytical_processing
Organized collection of data in computing
to the database models that they support. Relational databases became dominant in the 1980s. These model data as rows and columns in a series of tables
Database
Computer language used to make queries into databases and information systems
well-known query language and data manipulation language for relational databases. XQuery is a query language for XML data sources. XPath is a declarative
Query_language
Collection of data
Humanitarian Affairs. NYC Open Data – free public data published by New York City agencies and other partners. Relational data set repository Archived 2018-03-07
Data_set
Proprietary database management system
models within a single engine, including relational, JSON document, XML, spatial, graph, text, and AI vector data, all queryable through SQL. Oracle AI Database
Oracle_Database
Area of automatic programming
and more towards a machine learning setting with applications in relational data mining and knowledge discovery. In parallel to work in ILP, Koza proposed
Inductive_programming
Centralized storage of knowledge
systems of data (often, the company's operational databases, such as relational databases); Data integration technology and processes to extract data from source
Data_warehouse
Subset of artificial intelligence
compose the foundations of machine learning. Data mining is a related field of study, focusing on exploratory data analysis (EDA) through unsupervised learning
Machine_learning
Process of managing interactions with customers
building out their relational intelligence. Companies can use data mining technologies and web searches to understand relational signals. Social media
Customer relationship management
Customer_relationship_management
Computer-based technologies
popular format for data representation. Although XML data can be stored in normal file systems, it is commonly held in relational databases to take advantage
Information_technology
Extracting features from raw data for machine learning
Siebes A, Van Der Wallen D (1999). "Multi-relational Decision Tree Induction" (PDF). Principles of Data Mining and Knowledge Discovery. Lecture Notes in
Feature_engineering
Method of extracting data from websites
used as a component of applications used for web indexing, web mining and data mining, online price change monitoring and price comparison, product review
Web_scraping
of tests (non-regression analysis). relational database Is a digital database based on the relational model of data, as proposed by E. F. Codd in 1970
Glossary_of_computer_science
Combining data from multiple sources
coherent data store that provides synchronous data across a network of files for clients. A common use of data integration is in data mining when analyzing
Data_integration
Mapping of a known quantity to an unknown entity
database normalation, the process of organizing the fields and tables of a relational database to minimize redundancy and dependency, is the central, defining
Identification_(information)
Extremely large or complex datasets
big data, this alternative perspective pushes forward a relational understanding of the object claiming that what matters is the way in which data is collected
Big_data
Creation of knowledge from structured and unstructured sources
the source data. The RDB2RDF W3C group was standardizing a language for extraction of resource description frameworks (RDF) from relational databases.[when
Knowledge_extraction
Process of analysing text to extract information from it
Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer
Text_mining
Overview of and topical guide to machine learning
Reasoning system Regularization perspectives on support vector machines Relational data mining Relationship square Relevance vector machine Relief (feature selection)
Outline_of_machine_learning
Database modeling method
Unlike the star schema (dimensional modelling) and the classical relational model (3NF), data vault and anchor modeling are well-suited for capturing changes
Data_vault_modeling
Visual representation of data
ideas and stimulating research. Data scientists, analysts and data mining specialists use data visualization to check data quality, find errors, unusual
Data and information visualization
Data_and_information_visualization
Designing how data is held in a database
that the relational model is so called because of the stating of relationships between data elements therein. This is not true. The relational model is
Database_design
Family of database software by Microsoft
Microsoft SQL Server is a proprietary relational database management system developed by Microsoft using Structured Query Language (SQL, often pronounced
Microsoft_SQL_Server
Software designed for managing workflows involving analysis of large data sets
methods for managing data in relational databases, providing some of the foundational concepts for what would later become data version control. In the
Data_version_control
System to capture, manage, and present geographic data
extension to Object-relational database software, which defines a geometry datatype so that spatial data can be stored in relational tables, and extensions
Geographic_information_system
Online analytical processing (OLAP) and data mining tool in Microsoft SQL Server
Analysis Services (SSAS) is an online analytical processing (OLAP) and data mining tool in Microsoft SQL Server. SSAS is used as a tool by organizations
Microsoft_Analysis_Services
Indian computer scientist
well known for developing fundamental data mining concepts and technologies and pioneering key concepts in data privacy, including Hippocratic Database
Rakesh Agrawal (computer scientist)
Rakesh_Agrawal_(computer_scientist)
the Microsoft Montréal lab. He is known for his research in statistical relational learning (a subdiscipline of artificial intelligence and machine learning)
Geoffrey_J._Gordon
Open source column-oriented relational database management system
MonetDB is an open-source column-oriented relational database management system (RDBMS) originally developed at the Centrum Wiskunde & Informatica (CWI)
MonetDB
Extension of standard data analysis
symbolic data analysis and its Application to the Sodas Project by Edwin Diday R2S: An R package to transform relational data into symbolic data v t e
Symbolic_data_analysis
Multi-dimensional data structure
Hamid (January 1997). "Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals". Data Mining and Knowledge Discovery
Data_cube
Correcting inaccurate computer records
and field the error occurred and the error condition. Data editing Data management Data mining Database repair Iterative proportional fitting Record linkage
Data_cleansing
Origins and events of data
and Sunil Prabhakar. Tracing lineage beyond relational operators. In Proc. Conference on Very Large Data Bases (VLDB), September 2007. Yael Amsterdamer
Data_lineage
Data about other data
metadata, which defines the data structures such as tables, fields, data types, indexes, and partitions in the relational engine, as well as databases
Metadata
Multidimensional data array organized for rapid analysis
forecast. OLAP data is typically stored in a star schema or snowflake schema in a relational data warehouse or in a special-purpose data management system
OLAP_cube
Geospatial and graph component of Oracle Database
for storing / querying spatial data in RDF per Open GeoSpatial Consortium (OGC) specification. RDF views on relational data to apply semantic analysis with
Oracle_Spatial_and_Graph
Method for discovering interesting relations between variables in databases
mining suite, allows association rule learning for first order relational rules. Sequence mining Production system (computer science) Learning classifier system
Association_rule_learning
Polish-American computer scientist (born 1954)
in 1982. Their work,"The relational model of data and cylindric algebras" was later published in 1984. Association Rule Mining His joint 1993 paper with
Tomasz_Imieliński
Polish computer scientist
Symposium on Principles of Database Systems), in 1982. Their work "The relational model of data and cylindric algebras" was published in 1984. Lipski contributed
Witold_Lipski
World Health Organization drug safety database
stipulated fees, provided the data is being used for academic purposes or in public interest. VigiBase is a relational database management system (RDMS)
VigiBase
Table that summarizes data from another table
totals Data drilling Data mining Data visualization Data warehouse Extract, transform, load Fold (higher-order function) OLAP cube Relational algebra
Pivot_table
Java software and development tools
automation tool Apache Batik – SVG processing Apache Cayenne – object-relational mapping Apache Xerces – collection of software libraries for parsing,
List of Java software and tools
List_of_Java_software_and_tools
Abstraction in data management
When more sophisticated operations are required, such as relational-style queries, data mining, or monitoring over certain sources, then additional effort
Dataspace
for managing XML data, in addition to relational data. For this purpose, it defined an xml data type that could be used either as a data type in database
History of Microsoft SQL Server
History_of_Microsoft_SQL_Server
Database query language
Query by Example (QBE) is a database query language for relational databases. Query by Example was devised by Moshé M. Zloof at IBM Research during the
Query_by_Example
on Data Mining Workshops, 2007. ICDM Workshops 2007. IEEE. Volk Rosentahl; Martin Hahmann; Dirk Habich; Wolfgang Lehner. "Clustering Uncertain Data With
Uncertain_data
Class of parallel computing applications
been implemented for data-intensive computing and large-scale data analysis applications including parallel and distributed relational database management
Data-intensive_computing
Unordered set of n-time-series possibly of different lengths
rarely feature complex, cross-table relational dependencies, TSDBs do not require the overhead of traditional relational constraints. Furthermore, because
Time_series_database
Predictive modelling technique
continuous variable (for example, customer revenue). Uplift modelling is a data mining technique that has been applied predominantly in the financial services
Uplift_modelling
Digital collections of natural language data
Concordance Corpus linguistics Culturomics Distributional–relational database Linguistic Data Consortium Natural language processing Natural Language Toolkit
Text_corpus
Method of deriving an ontology
concept analysis finds practical application in fields including data mining, text mining, machine learning, knowledge management, semantic web, software
Formal_concept_analysis
manages text, images and numeric data. The intelligent database engine supports the other two layers, often merging relational database techniques with object
Intelligent_database
(2) the relational database engine, known as SQL Relational Database Engine (SRDE). Both engines can access the same data, but the methods of data access
Actian_Zen
Problem in network theory
learning and data mining community. For example, Popescul et al. proposed a structured logistic regression model that can make use of relational features
Link_prediction
Category of programming languages
language compiler. The SQL relational database language is an example of a declarative, data-centric language. Declarative, data-centric programming languages
Data-centric programming language
Data-centric_programming_language
American lawyer
management system (OODBMS). The relational database management system permitted rapid searching, sorting, and collecting data on individual veterans and associated
Victor_Yannacone
Software projects developed at universities
processing chatbot (MIT) ELKI – data mining and clustering framework (LMU Munich) GATE – natural language processing and text-mining framework (Sheffield) HTK
List of software developed at universities
List_of_software_developed_at_universities
which define SOAP and WSDL-based interfaces for access to data resources, such as relational databases. The WS-DAI framework is designed to complement
WS-DAI
Open source distributed cache software
Through pluggable architecture, infinispan is able to persist data to filesystem, relational databases with JDBC, LevelDB, NoSQL databases like MongoDB,
Infinispan
Overview of and topical guide to databases
changing (Buchmann). Relational database – collection of data items organized as a set of formally described tables from which data can be accessed easily
Outline_of_databases
Data warehouse standard
trials thru better enablement of clinical trial design). The Janus data model is a relational database model, and is based on SDTM as a standard, in terms of
JANUS clinical trial data repository
JANUS_clinical_trial_data_repository
Statistical analysis software
packages, spreadsheets and databases. It can also read and write to external relational database tables via ODBC and SQL. Statistical output is to a proprietary
SPSS
Topical clustering method
large collections of unstructured text and other forms of big data. Beyond text mining, topic models have also been used to uncover latent structures
Topic_model
Type of database
worlds. Though mostly studied in the relational setting, uncertain database models can also be defined in other relational models such as graph databases or
Uncertain_database
Distributed data processing framework
learning and data mining Image processing XML message processing Web crawling Archival work for compliance, including of relational and tabular data On 19 February
Apache_Hadoop
Embedding of data within a manifold based on a similarity function
embeddings. GloVe embeddings are known for capturing both semantic and relational similarities between words. Siamese Networks: Siamese networks are a type
Latent_space
Discovery, interpretation, and communication of meaningful patterns in data
structured data in that its format varies widely and cannot be stored in traditional relational databases without significant effort at data transformation
Analytics
programming APIs, like JAX-WS and JAX-RS. Apache Empire DB Relational database abstraction layer and data persistence component that allows developers to take
List_of_Java_frameworks
Data-mining algorithm
Apriori is an algorithm for frequent item set mining and association rule learning over relational databases. It proceeds by identifying the frequent individual
Apriori_algorithm
Network analysis and visualization package for Microsoft Excel
clustering, as well as monitor relational data and describe the overall relational network structure. When applied to Twitter data analysis, it showed the total
NodeXL
Overview of and topical guide to computer science
Structured Storage – non-relational databases such as NoSQL databases. Data mining – Study of algorithms for searching and processing information in documents
Outline_of_computer_science
Computer scientist, author
relational database system. He further extended this work into other types of databases such as object-oriented, XML, and graph. In the area of data mining
Jarek_Gryz
Aspect of information processing
view, semantic queries are precise relational-type operations much like a database query. They work on structured data and therefore have the possibility
Semantic_query
List of projects maintained by the Apache Software Foundation
ECharts: charting and data visualization library written in JavaScript Empire-db: a lightweight relational database abstraction layer and data persistence component
List of Apache Software Foundation projects
List_of_Apache_Software_Foundation_projects
Type of knowledge base
information in specialized databases. They rely on an underlying relational database or data lake to answer queries on the graph. Such a virtual knowledge
Knowledge_graph
Software company in Canada
a product called NovaView. Necto offers data mining and report generation, allowing custom views of the data without having to wait to run a report. It
Panorama_Software
Data mining framework
for Developing KDD-Applications Supported by Index-Structures) is a data mining (KDD, knowledge discovery in databases) software framework developed
ELKI
Connection between computers or programs
introduced to the field of databases by C. J. Date in a 1974 paper called The Relational and Network Approaches: Comparison of the Application Programming Interface
API
Type of function in database management
languages, in spreadsheets, and in relational algebra. The listagg function, as defined in the SQL:2016 standard aggregates data from multiple rows into a single
Aggregate_function
Concept in machine learning
01-09-953. PMID 20141471. S2CID 1413690. Sutskever, I (2009). "Modeling Relational Data using Bayesian Clustered Tensor Factorization". Advances in Neural
Tensor_(machine_learning)
Framework
disconnected data. Conceptually, a Dataset object can be seen as a small in-memory relational database in its own right that allows for manipulation of data in
Microsoft Data Access Components
Microsoft_Data_Access_Components
American AI scientist
September 2018) Speer, Robert, and Catherine Havasi. "Representing General Relational Knowledge in ConceptNet 5."In LREC, pp. 3679–3686. 2012. (cited 227 times
Catherine_Havasi
Software system
column-based, petabyte scale, relational database software system used for business intelligence, data warehousing, and data marts. Produced by Sybase Inc
SAP_IQ
Chart displaying multivariate data
level for each data attribute. Inselberg (Inselberg 1997) made a full review of how to visually read out parallel coordinates relational patterns. When
Parallel_coordinates
visualization framework dedicated to the analysis and visualization of relational data. The Model-View-Controller architecture of Tulip allows Systrip to
Systrip
Database managing time and space information
their data in a relational database. Unlike in the pure spatial domain, there are however no official or de facto standards for spatiotemporal data models
Spatiotemporal_database
Slovene computer scientist
machine learning and data science for large interconnected systems. His work focuses on modeling complex, richly-labeled relational structures, graphs,
Jure_Leskovec
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