## Presentation topics related to Data Mining

1. Molecular feature mining in HIV data

2. Data mining and knowledge discovery in real life applications

3. Spatiotemporal data mining: Issues, tasks and applications

4. Rough set theory: a data mining tool for semiconductor manufacturing

5. Analysis of an energy efficient building design through data mining approach

6. Privacy-preserving data mining: methods, metrics, and applications

7. Systematic survey of big data and data mining in internet of things

8. Predicting dropout student: An application of data mining methods in an online education program.

9. Methods for mining HTS data

10. Analyzing bearing faults in wind turbines: A data-mining approach

11. Data mining library reuse patterns using generalized association rules

12. Advanced techniques in knowledge discovery and data mining

13. Data mining of metal ion environments present in protein structures

14. Active mining: new directions of data mining

15. The use of data mining and neural networks for forecasting stock market returns

16. Methodologies of knowledge discovery from data and data mining methods in mechanical engineering

17. A data mining approach to modelling of water supply assets

18. An incident information management framework based on data integration, data mining, and multi-criteria decision making

19. Data mining for signals in spontaneous reporting databases: proceed with caution

20. Literature review of data mining applications in academic libraries

21. Forecasting fraudulent financial statements using data mining

22. Data mining and knowledge discovery.

23. Risk mining in medicine: Application of data mining to medical risk management

24. Application of data mining techniques to model breast cancer data

25. Random projection-based multiplicative data perturbation for privacy preserving distributed data mining

26. Time series feature extraction for data mining using DWT and DFT

27. Mining patterns of events in students’ teamwork data

28. Data mining techniques for wireless sensor networks: A survey

29. A survey on graphic processing unit computing for large‐scale data mining

30. Association rule hiding for data mining

31. Shared memory parallelization of data mining algorithms: Techniques, programming interface, and performance

32. Effective counterterrorism and the limited role of predictive data mining

33. Tada-ed for educational data mining

34. A novel approach for breast cancer detection using data mining techniques

35. Data mining technology for the evaluation of web-based teaching and learning systems

36. Educational data mining applications and tasks: A survey of the last 10 years

37. Predicting going concern opinion with data mining

38. Assessment of the risk factors of coronary heart events based on data mining with decision trees

39. Data mining and text mining technologies for collaborative learning in an ILMS” Ssamurai”

40. Ontology of core data mining entities

41. A data mining system for infection control surveillance

42. Demon: Mining and monitoring evolving data

43. Evolving limitations in K-means algorithm in data mining and their removal

44. Mapping student’s performance based on data mining approach (a case study)

45. Adaptive regression and model selection in data mining problems

46. Data mining research: Opportunities and challenges

47. A comparative study of data mining algorithms for network intrusion detection

48. Developing an approach to evaluate stocks by forecasting effective features with data mining methods

49. Data mining in metric space: an empirical analysis of supervised learning performance criteria

50. Big data, mining, and analytics: components of strategic decision making

51. Turning telecommunications call details to churn prediction: a data mining approach

52. Data mining in cancer research [application notes]

53. A survey of data mining techniques on risk prediction: Heart disease

54. Predicting school failure and dropout by using data mining techniques

55. A study on feature selection techniques in educational data mining

56. Formal concept analysis for knowledge discovery and data mining: The new challenges

57. A data mining framework to analyze road accident data

58. Proactive data mining using decision trees

59. A process for mining science & technology documents databases, illustrated for the case of” knowledge discovery and data mining”

60. Going concern prediction using data mining techniques

61. Curation by code: Infomediaries and the data mining of taste

62. Data mining

63. A hybrid approach of neural network and memory-based learning to data mining

64. Data mining of the public version of the FDA Adverse Event Reporting System

65. Data mining techniques for cancer detection using serum proteomic profiling

66. Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining

67. A data-mining model for protection of FACTS-based transmission line

68. A review of financial accounting fraud detection based on data mining techniques

69. A study of data mining tools in knowledge discovery process

70. Performance analysis of data mining classification techniques to predict diabetes

71. Framework for efficient feature selection in genetic algorithm based data mining

72. Trade-off between computation time and number of rules for fuzzy mining from quantitative data

73. Data mining methods for the content analyst: An introduction to the computational analysis of content

74. Performance analysis and prediction in educational data mining: A research travelogue

75. Using Meta-Learning to Support Data Mining.

76. Data mining: Concepts, methods and applications in management and engineering design

77. Data mining in personalizing distance education courses

78. Determination of factors influencing the achievement of the first-year university students using data mining methods

79. Data mining meets performance evaluation: Fast algorithms for modeling bursty traffic

80. Data mining on imbalanced data sets

81. Data mining et statistique décisionnelle: l’intelligence des données

82. Konsep data mining vs sistem pendukung keputusan

83. Data Mining (Datenmustererkennung)

84. Технологии анализа данных: Data Mining, Text Mining, Visual Mining, OLAP. 2 изд.

85. Preâmbulo [a]” Data mining: descoberta de conhecimento em bases de dados”

86. Assoziationsregeln–Analyse eines Data Mining Verfahrens

87. Conceitos e aplicações de data mining

88. Data mining im praktischen Einsatz

89. Analisi dei dati e data mining per le decisioni aziendali

90. Методы и модели анализа данных: OLAP и Data Mining

91. Analisi dei dati e data mining

92. Data Mining in der Medizin und Medizintechnik

93. Классификация, регрессия и другие алгоритмы Data Mining с использованием R

94. Orange: Data mining fruitful and fun-a historical perspective

95. Data warehouse & data mining

96. Data Mining: Klasifikasi Menggunakan Algoritma C4. 5