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31. Explored the field of data mining in the supermarket business in a variety of applications, designed for the supermarket chain data mining program, and its sales analysis was studied.

32. The goal of data mining is to find the correct, novel, valuable and interpretable pattern from the mass data.

33. Mining association rules with ontological information bases on built domain ontology, using an algorithm of data mining, to produce semantic association rules which are more greatly satisfying users.

34. Classification is an important sub-branch of Data Mining, which can find out a model describing a predetermined set of data classes or concepts as used to predict the class label for a test sample.

35. In the emerging standard PMML(Predictive Model Markup Language), which is the platform and system independent representation of data mining models, there is no definition of the SOM meta-model.

36. The paper briefly introduced the concept of privacy preserving data mining technology and studied the application of decision tree classifier in this particular field.

37. 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.

38. I would like to focus on bio - informatics, database and data mining technology.

39. The technique of data mining is a new type of information processing technique.

40. The aim was to compare and classify these literatures and put forward reference for scholars who research development, new techniques and trends of time series data mining.

41. Binary entity relationship tuples can be applied in many fields such as knowledge base construction, data mining and pattern extraction and so on.

42. An effective data mining and forecasting method based on GA - NN in network management databases is provided.

43. As a jumped-up subject full of innovation, data mining has a broad application in many research fields, especially in chemo-metrology.

44. Based on fuzzy rough set ( FRS ) theory, an information decision system is built, in which some problems in the process of system building are coped with by data mining technology.

45. It is important that the data mining of multistage process should be study in the each phase.

46. The association analysis using data mining theory, a certain life insurance policies the company's history database of the excavation, has been reasonable, reliable association rules.

47. After discussing the control field format of microcommand in computer execution unit, an efficient algorithms is put forth. Then this algorithm is optimized through the search strategy of data mining.

47. Sentencedict.com is a sentence dictionary, on which you can find good sentences for a large number of words.

48. The application of data mining classification techniques in credit scoring involves the process of building and selecting optimal models.

49. The large-scale database or data warehouse is a huge amount of data in the real world, so data pre-processing must be done by attribute selection technology in Data Mining.

50. This paper studies uncertain graph data mining and especially investigates the problem of mining frequent subgraph patterns from uncertain graph data.

51. Table Analysis Tools for Excel: This add-in provides easy-to-use tools that leverage SQL Server 2008 data mining features to perform powerful analytics on your spreadsheet data.

52. In the paper, based on hyper graph theory, a hypergraph model is proposed, which is useful for spatial data mining .

53. The combination of data mining theory and the index can help to make a scientific strategy for training and scientific achievement analysis.

54. First the paper introduces text categorization in the application of machine learning, pattern discrimination and data mining and explores the connection between text categorization and them.

55. The difference between regular data mining and text mining is that in text mining the patterns are extracted from natural language text rather than from structured databases of facts.

56. Text mining uses the data mining technique to find and extract the crytic knowledge automatically from text files, which is self - existent the information users needed.

57. The novel commercial data mining system presented in this paper include three parts: data preparation, data preprocessing, mining and evaluation.

58. Data mining can combine top-down analysis techniques with bottom-up analysis techniques.

59. This paper is concern about the data mining research in the safe structure operation of the large port machine.

60. This paper mainly studies the technology of data mining for compressed data, including association rule mining, classification and clustering algorithm.