“data mining”可以造什么句，data mining造句

2、Association rule mining is an important task of data mining.

4、It's a bad data mining model for this data.

6、Outlier data mining is an important embranchment in data mining research.

8、The paper establishes decision-making tree data mining model and clustering data mining model to make data mining with a multi-dimension data collection.

10、A mathematical model of data mining for overreaction;

12、The mining model flag '%1' is not valid for the current data mining algorithm

14、Application of data mining in the reader relation management;

16、Through researching various visualization methods on data mining, we propose a novel interactive visualization outlier data mining method.

18、A parallel data mining architecture is put forward, facing to business intelligence and having higher data mining efficiency.

20、It's much easier to run the data mining model than to load the data into it.

22、Describes the statistical distribution of the data contained in the data mining column

24、Symbolic data analysis is a new data mining technology and interval number is a most important type of symbolic data.

26、In this article, classification and prediction methods of data mining was applied to predict gas concentrations which is the application of data mining coal and gas research.

28、This paper introduces data mining concept, function and operation flow, and put forward using data mining technique to build individuation service model in physical education distance education.

30、The data mining technology based on the rough set theory can be trained through the training data set.

32、Redundant adribute in data set will lead to low precision and low interpreting ability of data mining.

34、Based on detection prevention-data fusion analysis and data mining-response, a layered intrusion prevention system (IPS) model is proposed.

36、Table 2 lists and describes some of the more common dialects used in data mining.

38、XML-based dialects are used quite extensively for data mining purposes.

40、Data mining is the process of abstracting unaware, potential and useful information and knowledge from plentiful, incomplete, noisy, fuzzy and stochastic data, which is deemed to one of a foreland of data mining system and a promising cross-subject.

42、Additionally, this article will discuss the first technique for data mining: regression, which transforms existing data into a numerical prediction for future data.

44、The system development for the data warehouse of oil exploration is based on POSC, data mining technique based on the data warehouse of oil exploration is also discussed.

46、Specially, the article provides two mining algorithms and describes how data mining can be used to identify actionable patterns and construct correlation rul...

48、However, for the average user, clustering can be the most useful data mining method you can use.

50、In this paper, we briefly survey the rclated work in data mining, including its basic ideas , its tasks, its demands.

3、In general, data mining can be divided into two parts: descriptive data mining and predictive data mining.

7、Visual data mining technology is a hot topic in the field of data mining.

11、Research of statistic information data mining based on complex network

15、Application of data mining in CRM of children training institute

19、Method data mining and economics method were used to analyze 97 contract hospitals practical running data.

23、DB2 UDB ESE with DPF is ideal to manage OLAP, data warehousing, and data mining workloads.

27、Attribute reduction is one of important step in preprocessing of data mining, it improves the efficiency of the data mining algorithm by reducing the dimensions of the information.

31、The challenge of data mining is dealing with the dimensionality of the data and the volume of it.

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

39、Text categorization is one of the important techniques in textual data mining.

43、Thus, if the data warehouse is used for data mining, a low level of detailed data should be included in the model.

47、Several methods of data mining and text mining have been studied in this paper, which mainly includes: attribute reduction methods, clustering methods.

1、What is data mining?

9、Frequent patterns mining is an important aspect of data mining and includes mining transaction, sequence, tree and graph.

17、This paper illustrates the basic concepts of data mining and in detail discusses the Algorithm C5 approach for data mining.

25、Multimedia data mining is the mining of high-level multimedia information and knowledge from large multimedia databases.

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

41、The ones that spoke of mainly are data warehouse and the data mart, OLAP and data mining, and show technologies in the front-ends.

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

13、Then, see how to invoke data mining dynamically from Cognos.

29、In general terms, data Science is the extraction of knowledge from data, which is a continuation of the field data mining and predictive analytics, also known as knowledge discovery and data mining.

45、Mining association rules is an important aspect of the study of data mining, and one of the important problems is the evaluation of interestingness of the discovered rules.

21、Large, complex data sets escalate traditional data mining techniques to new levels of processing demand.

5、By definition, data mining is defined as mining the useful information from plenty of data.

37、On the base of statistics, the bayes network is a method of data mining.