1. Data Applied, a web based data mining environment.

2. The Core team understand data mining.

3. This process is called data accumulation or data enhancement in data mining lingo.

4. This topic in development uses data warehouse and data mining technology.

5. • Instrumentation, data acquisition and experimental procedures to evaluate and adapt mining equipment Mining methods and systems

6. Apriori algorithm is a classical algorithm in data mining

7. The basic step of the data mining has five stages: question definition and subject analysis, data preparation, model build, mode assessment, appraisal and verification of the data mining result.

8. Data mining is used to analyse individuals' buying habits.

9. Data sources for data mining access are uniformly modelled using the abstract class MiningInputStream.

10. KNIME: free and commercial machine learning and data mining software.

11. Business intelligence (Bi) is an umbrella term for the technology that enables data preparation, data mining, data management, and data visualization

12. Cross-industry standard process for data mining, known as Crisp-DM, is an open standard process model that describes common approaches used by data mining experts

13. Aidm Information Technology and Services Al Khaldeyah, Makkah 1,395 followers Artificial Intelligence and Data Mining (Aidm) company specializes in developing innovative AI and Data Mining Solutions

14. The limitlessness, mobility, and irregularity of time series data stream make the traditional frequent-pattern mining algorithms difficult to extend to the mining problem of time series data stream.

15. The genetic algorithm plays an important role in area of data mining.

16. The Commission will continue to support R&D in data-handling technologies, e.g. data mining, analytics or visualisation.

17. Data mining requires data preparation which can uncover information or patterns which may compromise confidentiality and privacy obligations.

18. Mathematical and programming methods of data processing; modelling and prediction; data mining; expert information systems; and decision support systems;

19. • Analytical Tools (e.g., Advanced Analysis Tools, Data Mining/Knowledge Discovery, and Knowledge Management);

20. Advanced data-mining techniques and enhanced learning algorithms are also being worked on.

21. Training in the processing, management, aggregation, manipulation, mining, analysis and modelling of data

22. In particular, machine learning algorithms together with data mining processes can help in pattern recognition even with unstructured data.

23. The challenge is to make sure data mining doesn't become data strip mining - that we don't burn down the forest to make a lot of money quick but with no long term value.

24. For example, data mining techniques might be applied to mine and structure personal information.

25. Himalaya Tools is a suite of programs focusing on new techniques in data mining.

26. These studies did not include data on the actual environmental conditions in mining communities.

27. This Public Mining Cadastre Portal provides a spatial view into the mining Cadastre data for DRC and is intended to improve stakeholder communications, reduce corruption and improve transparency in the DRC mining sector.

28. Arterys developed the technology by mining a data set of more than 3,000 cardiac cases

29. This article introduces the background, basic tasks and methods of Data Mining with pellucid examples.

30. Computer software for reporting, online analytical processing, analytics, data mining, business performance management, benchmarking, text mining, and predictive analytics, all in the field of business intelligence

31. The technology integrates advanced criminal and social network analysis, together with text and data mining methods.

32. The issue of data mining also come into place as countries head towards a cashless society.

33. Using the method of binary system in association rule data mining may produce some redundancy patterns.

34. There are two types of data mining methods integration, they are horizontal integration and vertical integration.

35. Spatial clustering analysis is important method and study content of spatial analysis and spatial data mining.

36. Bi technologies provide historical, current, and predictive views of business operations.Common functions of business intelligence technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining

37. BI is a broad term that encompasses data mining, process analysis, performance benchmarking, and descriptive analytics. BI parses all the data generated by a …

38. This also includes the use of Big Data infrastructures, Data Mining, advanced analytics, predictive analytics and Customer Journey management and xIntelligence: multi-channel analytics.

39. The growth of data mining has led many to worry about invasions of privacy by overzealous marketers.

40. The process starts with mining (see Uranium mining).

41. Augustus is designed for statistical and data mining models and produces and consumes models with 10,000s of segments

42. The extension method enriches the content of data mining, and provides new tools for building multivalue correlative criteria.

43. Asic miners manufacturer, Mining farm, Mining projects consalting

44. Much crucial business data is stored in a range of different data stores, many attached to business applications like ERP.Full-stack Bi tools consolidate all data in a data warehouse which is a relational database designed for data mining instead of transactional

45. Technological challenges associated with generation, acquisition, retrieval, analysis, mining, and presentation of integrated clinical and biomedical data are addressed.

46. It is important to note that the KP WGDE used pre-conflict alluvial mining data to produce its estimates.

47. University projects from California, Switzerland and Germany try to improve that by methods of formal analysis and data mining.

48. Weimann has argued that data mining could sniff out jihadists or remove information before would-be terrorists see it.

49. Our track in Biostatistics and Data Science is unique as it focuses on data mining and machine learning techniques yet retains the rigor of a traditional Biostatistics program

50. This EITI Compliant Public Portal provides a spatial view into the mining Cadastre data for Mozambique and is intended to improve stakeholder communications, reduce corruption and improve transparency in the Mozambique mining sector.

51. Algos Crypto Mining is a leading cryptocurrency mining investment company

52. Spatial clustering is one of the important research topic in spatial data mining, it is widely applied in spatial analysis.

53. Wearing either superior mining gloves or expert mining gloves while mining an Adamantite rock grants a 16.66% chance for

54. The Acoin mining profitability results and mining rewards were calculated using the best Acoin mining calculator with the following inputs

55. NetCoiners is a British mining company specialized in crypto currency mining

56. Copper Mountain Mining Corp.: Copper Mountain Mining is a Canadian-based developer of mineral properties focused on Copper mining operations

57. What is Anomaly detection? Anomaly detection (aka outlier analysis) is a step in data mining that identifies data points, events, and/or observations that deviate from a dataset’s normal behavior.

58. It is a practical meaning that forecast intelligently and statistics quickly data in the electric material system to save money and economize labour force by the technology of the Data Mining.

59. (dental practice management placement) Admi: Air Defense MSE Interface: Admi: Australian DeMining International Pty Ltd: Admi: Agents and Data Mining Interaction (workshop)

60. There are three common personalized recommendatory technologies: information retrieval and extractor, content-based filtering and collaborative filtering, data mining and knowledge discovery.

61. Business intelligence (Bi) comBines business analytics, data mining, data visualization, data tools and infrastructure, and best practices to help organizations to make more data-driven decisions.In practice, you know you’ve got modern business intelligence when you have a comprehensive view of your organization’s data and use that data to drive change, eliminate inefficiencies, and

62. Aiming at the method of binary system conversion in data mining, this paper defines binary system sequences set and its related concepts.

63. In the area of electrical power engineering, data mining methods have been widely used for condition monitoring of high voltage electrical equipment.

64. Depending on all above studies and experiments, we can conclude that using data mining distill prosodic rules in speech synthesis is viable.

65. Gold mining perspective had been abandoned, even if some mining activities will continue.

66. Self-service business intelligence (Bi) is an approach to data analytics that enables business users to access and explore data sets even if they don't have a background in Bi or related functions like data mining and statistical analysis

67. , including mining and post-mining activities and dumping of effluents in coastal areas.

68. Trystrand Alcyon mining network

69. 25 It is a practical meaning that forecast intelligently and statistics quickly data in the electric material system to save money and economize labour force by the technology of the Data Mining.

70. This add-in can be used alone, but it’s designed to work with Frontline’s Analytic Solver Data Mining add-in, offering powerful forecasting

71. The definition of deep strip mining and reasonable mining depth are discussed and determined.

72. This Public Portal provides a spatial view into the mining Cadastre data for Namibia and is intended to improve stakeholder communications, reduce corruption …

73. Yukon Placer Mining Act

74. Deep Packet Inspection (and filtering) enables advanced network management, user service, and security functions as well as Internet data mining, eavesdropping, censorship etc.

75. Ambert Mines is an established gold mining company and a small scale mining representatives

76. Ariab Mining Company (AMC) is the leading mining company in Sudan and East Africa

77. Downer -- Three handwritten sheets of data -- Certificate of assay -- Bimetallist: Ouray County, Colorado / Maynard Ayler -- The Bimetallist group of mining claims in Mount Sneffels mining district, Ouray County, Colorado -- Bimetallist claim map and section -- Half sheet of assay information

78. Data mining is an intercrossed subject, involving many fields such as machine learning, model reorganization, induction and deduction, statistics, database and high performance calculation.

79. HP Buckets HP mining Buckets are Hensley’s time-tested series for the toughest mining applications

80. Such as: the establishment of databank, category analysis and management, data mining and implementation, integration "between proscenium and tiring-room" of Digital Marketing etc.