Search for "Data mining" in article titles:

1. Data mining: Data mining (рус. добыча данных, интеллектуальный анализ данных, глубинный анализ данных) — собирательное название, используемое для обозначения совокупности методов обнаружения в данных ранее неизвестных, нетривиальных, практически полезных и доступных интерпретации знаний, необходимых для принятия решений в различных сферах человеческой деятельнос. [100%] 2024-02-08
2. Data mining: Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall ... (Process of extracting and discovering patterns in large data sets) [100%] 2023-12-31 [Data mining] [Formal sciences]...
3. Data mining: Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall ... (Process of extracting and discovering patterns in large data sets) [100%] 2024-02-16 [Data mining] [Formal sciences]...
4. Data mining in agriculture: Data mining in agriculture is a research topic that applies data mining and data science techniques to the agricultural sector. Recent advancement in technology have made it possible to collect large amount of data related to agricultural activities, which can ... (Application of data mining techniques to agriculture) [70%] 2024-10-08 [Applied data mining] [Agricultural research]...
5. Data mining and learning analytics tools: This page lists data mining, learning analytics and automated content analysis tools. To add or edit a tool use the creation form below. [57%] 2024-01-14 [Data mining and learning analytics tools] [Data mining and learning analytics tools]...
6. Data mining and learning analytics tools: This page lists data mining, learning analytics and automated content analysis tools. To add or edit a tool use the creation form below. [57%] 2024-03-07 [Data mining and learning analytics tools] [Data mining and learning analytics tools]...
7. Data-Mining: Unter Data-Mining [ˈdeɪtə ˈmaɪnɪŋ] (von englisch data mining, aus englisch data ‚Daten‘ und englisch mine ‚graben‘, ‚abbauen‘, ‚fördern‘) versteht man die systematische Anwendung statistischer Methoden auf große Datenbestände (insbesondere „Big Data“ bzw. Massendaten) mit dem Ziel, neue Querverbindungen und Trends zu ... [100%] 2025-04-25
8. Educational data mining: Educational data mining (EDM) is a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings (e.g., universities and intelligent tutoring systems). At a high level, the field seeks to ... [81%] 2024-01-01 [Applied data mining] [Educational psychology]...
9. Manifold Data Mining: Manifold Data Mining is a Canadian company specializing in consumer data products, analytics, and predictive modeling. As a data and analytical service provider in Canada, they have been providing businesses, charities, and governmental organizations with comprehensive data products since being ... (Company) [81%] 2023-12-29 [Business intelligence] [Marketing analytics]...
10. Educational data mining: Educational Data Mining is a research area. Let's look at a few definitions: “Educational Data Mining (EDM) is an emerging multidisciplinary research area, in which methods and techniques for exploring data originating from various educational information systems have been ... [81%] 2024-01-26 [analytics]
11. Lift (data mining): In data mining and association rule learning, lift is a measure of the performance of a targeting model (association rule) at predicting or classifying cases as having an enhanced response (with respect to the population as a whole), measured against ... (Data mining) [81%] 2024-01-26 [Data mining]
12. Oracle Data Mining: Oracle Data Mining (ODM) is an option of Oracle Database Enterprise Edition. It contains several data mining and data analysis algorithms for classification, prediction, regression, associations, feature selection, anomaly detection, feature extraction, and specialized analytics. [81%] 2024-01-26 [Oracle software] [Data mining and machine learning software]...
13. Data stream mining: Data Stream Mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining can be read ... [81%] 2024-01-26 [Data mining]
14. Relational data mining: Relational data mining is the data mining technique for relational databases. Unlike traditional data mining algorithms, which look for patterns in a single table (propositional patterns), relational data mining algorithms look for patterns among multiple tables (relational patterns). [81%] 2024-01-26 [Machine learning] [Data processing]...
15. Educational data mining: Educational data mining (EDM) is a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings (e.g., universities and intelligent tutoring systems). At a high level, the field seeks to ... [81%] 2024-01-26 [Applied data mining] [Educational psychology]...
16. Wrapper (data mining): Wrapper in data mining is a procedure that extracts regular subcontent of an unstructured or 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 ... (Data mining) [81%] 2024-01-01 [Data mining]
17. Evolutionary data mining: Evolutionary data mining, or genetic data mining is an umbrella term for any data mining using evolutionary algorithms. While it can be used for mining data from DNA sequences, it is not limited to biological contexts and can be used ... [81%] 2023-12-29 [Data mining]
18. Data stream mining: Data Stream Mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining can be read ... [81%] 2023-12-30 [Data mining]
19. Oracle Data Mining: Oracle Data Mining (ODM) is an option of Oracle Database Enterprise Edition. It contains several data mining and data analysis algorithms for classification, prediction, regression, associations, feature selection, anomaly detection, feature extraction, and specialized analytics. (Software) [81%] 2023-12-31 [Oracle software] [Data mining and machine learning software]...
20. Relational data mining: Relational data mining is the data mining technique for relational databases. Unlike traditional data mining algorithms, which look for patterns in a single table (propositional patterns), relational data mining algorithms look for patterns among multiple tables (relational patterns). [81%] 2023-12-31 [Machine learning] [Data processing]...
21. Educational data mining: Educational Data Mining is a research area. Let's look at a few definitions: “Educational Data Mining (EDM) is an emerging multidisciplinary research area, in which methods and techniques for exploring data originating from various educational information systems have been ... [81%] 2024-01-21 [analytics]
22. Relational data mining: Relational data mining is the data mining technique for relational databases. Unlike traditional data mining algorithms, which look for patterns in a single table (propositional patterns), relational data mining algorithms look for patterns among multiple tables (relational patterns). [81%] 2023-12-31 [Machine learning] [Data processing]...
23. Lift (data mining): In data mining and association rule learning, lift is a measure of the performance of a targeting model (association rule) at predicting or classifying cases as having an enhanced response (with respect to the population as a whole), measured against ... (Data mining) [81%] 2023-12-17 [Data mining]
24. Java Data Mining: Java Data Mining (JDM) is a standard Java API for developing data mining applications and tools. JDM defines an object model and Java API for data mining objects and processes. (Java API) [81%] 2023-12-29 [Java specification requests] [Applied data mining]...
25. Oracle Data Mining: Oracle Data Mining (ODM) is an option of Oracle Database Enterprise Edition. It contains several data mining and data analysis algorithms for classification, prediction, regression, associations, feature selection, anomaly detection, feature extraction, and specialized analytics. [81%] 2023-12-30 [Oracle software] [Data mining and machine learning software]...
26. Educational data mining: Educational data mining (EDM) is a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings (e.g., universities and intelligent tutoring systems). At a high level, the field seeks to ... [81%] 2023-12-29 [Applied data mining] [Educational psychology]...
27. Cyborg data mining: Cyborg data mining is the practice of collecting data produced by an implantable device that monitors bodily processes for commercial interests. As an android is a human-like robot, a cyborg, on the other hand, is an organism whose physiological ... (Data mining practice) [81%] 2024-08-16 [Cybernetics] [Cyborgs]...
28. Java Data Mining: Pour les articles homonymes, voir JDM. Cet article est une ébauche concernant un logiciel. [81%] 2024-12-13
29. Cyborg data mining: Cyborg data mining is the practice of collecting data produced by an implantable device that monitors bodily processes for commercial interests. As an android is a human-like robot, a cyborg, on the other hand, is an organism whose physiological ... [81%] 2025-04-25 [Cybernetics] [Data mining]...
30. Manifold Data Mining Inc.: Manifold Data Mining Inc. is a Canadian company specializing in consumer data products, analytics, and predictive modeling. (Company) [70%] 2023-12-31 [Business intelligence companies] [Marketing analytics]...
31. Examples of data mining: Data mining, the process of discovering patterns in large data sets, has been used in many applications. Since the early 1960s, with the availability of oracles for certain combinatorial games, also called tablebases (e.g. [70%] 2023-12-30 [Applied data mining]
32. Manifold Data Mining Inc.: Manifold Data Mining Inc. is a Canadian company specializing in consumer data products, analytics, and predictive modeling. (Canadian data analytics company) [70%] 2023-12-31 [2001 establishments in Ontario] [Publishing in Canada]...