1、I. Translation(omitted)IIChoice Test.1Data warehouse (DW) is a _ data set that is integrated, steady and covers a time range, and that supports the procedure of decision-making in business management.A. subject-oriented B. no subject C. a type of D. stochastic2Relational analysis is an import method
2、 of mining relational knowledge; If the values of two or more data items repeatedly emerges and the _ is high, they are relational data items.A. probability B. frequent C. attached D. similar 3Artificial neural network (ANN) can be used to learn behavior model, but this model is hard to be depicted
3、and transferred in that its knowledge is hided within the matrix of _ of ANN.A. thresholds B. weighs C. rules D. action functions4The goal of GA-based classifier is, from the studying samples, getting such a _ that covers all the premises as for the same classifying results.A. network B. system C. m
4、inimum rule-set D. file 5The three-part of DSS consists of human-machine system, _, and model base system A.problem-solving system B. database systemC. file system D. knowledge base system6In DSS, model stores in mode base, data stores in database, whereas master program runs in .A. DW B.data marts
5、C. synthesized part D. application7The_ refers to the operation of selecting a two-dimension out of multi-dimension.A. dice B.data set C. data item D. slice8 is referred to recognize new mode from data set, which is effective, potential, and eventually understandableA. DM B. KDD C. pattern recoganiz
6、ation D. machine learning9DM-based decision support can be classified into relational analysis, sequential mode, _, classification, deviation-check and forecast. A.dividing B. sum C. level analysis D. cluster10There are two type of , that is, data-driven and model-driven. A.machine learning B. examp
7、le learning C. teaching learning D. discovery learning11The three-system structure of DSS includes language system, _, and knowledge system. A.learning system B. problem-solving system C.rule base D. human-machine interactive system12For the data sharing and transferring between models, all sharing
8、data should be stored in database, and managed by _. A.synthesized system B. database manage systemC.model base management system D. operators13The input of real problem generally be indicated in a form of concept, but the input of ANN demands the numeric value ranging from - to +, this transformati
9、on is called as _ _.A.input mode transformation B. pattern recognizationC. concept learning D. input learning14In the procedure of GA running, selection, and mutation are three operators. A.process B. analysis C. computation D. crossover15In KDD, the data preprocess includes _ calculating default da
10、ta, eliminating repeat records etc. A. pattern recognization B. hill-climb C. data mining D. eliminating noise16 is method that analyzes the all samples and gets the information and knowledge, they reveal the overall law hided in the data.A.what-if analysis B. statistical analysis C. steady analysis
11、 D. feasible analysis17 is a type of knowledge representation, it highly summarize the samples. A.decision tree B. state graph C. network D. frame structure18Data preparation, _, and result evaluation are the three parts of KDD.A.data analysis B. data clearning C. data processing D. data mining19Acc
12、ording to Simon, decision procedure includes four steps, they are determining goal, planning schemes, evaluating schemes and .A.executing scheme B.testing scheme C.analyzing scheme D. revising scheme 20The hard technology of decision is making decision by use of mathematics, of _ and of computer.A.m
13、odel B. circle C. network D. factor 21In the uniform structure of DSS, _ executes the process of real problem and the function of human-machine interacting A.database part B. synthesized part C.knwoledge part D. problem-solving part22OLAP is a fast process of shared multidimensional information; it
14、has 4 characteristics, that is, _, analysis, multi dimension, information. A.numerics B. system C. fast D. view23In GA-based classifier, real information are coded, by the _, into limited messages and then sent to message list. A.checker B. actor C. test table D. credit arrangment24The explanation m
15、echanism of ES can be fulfilled in two methods, one way is showing the reasoning procedure, and the other is showing the _ of the reasoning result. A. origin B. result C. example D. right path25_ is the combination of deduction in AI and the relational database. A.intelligent database B. deductive d
16、atabase C.decision database D. artifical database26 is a smaller, centralized data warehouse, which provides a cheaper path for business corporation to analyzing data. A.Database B.Data set C.Data mart D.Data item27ANN utilizes the connecting neurons to learn samples; the neuron has a multi inputs a
17、nd _ output A.multi B. no C. one D. parallel 28Knowledge base and reasoning mechanism make the core of .A.DSS B. ANN C. MIS D. ES29There are two type of , that is, data-driven and model-driven. A.machine learning B. example learning C. teaching learning D. discovery learningIIIShort Answer Test1 Ple
18、ase discuss the advantage and disadvantage of three-system DSS.2Please draft the procedure of GA.3Whats the drill in OLAP? 4 Please draft the logical structure of dependent data mart? 5Please draft the structure of expert system?6Please depict the procedure of ID3.7Please depict the basic combinatio
19、n of models. 8. Please indicate the rules in GA-based classifier. 9What is the knowledge discovery in database?10Please discuss the function of multi-model forecast11Please depict the reasoning process of BP. 12. Please explain the equality of dimension in the OLAP rules13Write the three steps of de
20、velopment of model base management system.IV. Calculation1 Given a knowledge base, see Figure 1ABCGIJKAXF JLBMECWZ MPQ EFigure 1 a knowledge basePlease draft the AND-OR reasoning tree. 2Please discuss the coding in solving TSP via GA, and give an appropriate fitness function. Here, we suppose the ci
21、ty number is 9. 3Given a training sample table, see table 1. Please construct a decision tree via ID3 algorithm. Table 1 training setAttributeNo. Attribute A Attribute B Attribute CType1 A1 B1 C1 N2 A1 B1 C2 N3 A2 B1 C1 N4 A3 B2 C1 P5 A2 B2 C2 P6 logarithmic values used in the calculation list in th
22、e following.3219.)(log273.0)5(log28158.0)3(l2 )(l24Given the rule base as the followsR1: AB CGR2: DEAR3: FBR4: HPCR5: QESuppose D, Q, F, and P are Yes, H is No, please solve G. 5In the evaluation of university, there are four inputs; they are the ratio of the number of teacher to that of student, th
23、e area of campus, the average book number of each student, the total number of teaching research product. The output is graded as very good, good, accept, and bad. Please draft the BP structure, and describe the according input mode and output mode.VSynthesized Problem1. Please draft the architectur
24、e of GA-based classifier, and describe the construction and meaning of the rules in it.2. As a senior student in University, you are front of the finding a job, preparing of deep study, struggling for government employee, how to decide? Whats your profit view? There are many unstructured decision, please list them, then describe the solution.3. Take some unstructured examples in your day-to-day life.
