本文選題：數(shù)據(jù)挖掘 + 聯(lián)機(jī)分析處理�。� 參考：《蘇州大學(xué)》2016年碩士論文

【摘要】：在中國,高考可以算得上是規(guī)模最大且最具影響力的人才選拔制度。高考不僅是對高等教育專業(yè)人才進(jìn)行選拔性的一種測試手段,而且是對現(xiàn)在基本課程教學(xué)質(zhì)量的測試,因此高考試卷和高考成績劃分也容易受到異議。江蘇省作為全國有名的教育大省,其高考一直頗受關(guān)注。本文以江蘇省海門市某高中高考考生成績?yōu)閷?shí)驗(yàn)基礎(chǔ),包括語文、數(shù)學(xué)、英語三門總分、對應(yīng)批次等級與兩門選修的等級。江蘇省高校招生考試除了成績,還有兩個以等級記分的選修課程。通過對已有的考生成績數(shù)據(jù)建立數(shù)據(jù)倉庫,應(yīng)用聯(lián)機(jī)分析處理(OLAP),建立直觀的數(shù)據(jù)視圖,創(chuàng)建挖掘模型,通過學(xué)生模擬考試成績?nèi)ヮA(yù)測他們最后可能的高考成績。本論文的主要工作包括:1)處理已有高考學(xué)生的相關(guān)成績數(shù)據(jù)。對數(shù)據(jù)進(jìn)行統(tǒng)一格式處理,將考生的高考成績導(dǎo)入數(shù)據(jù)庫中,建立完整的數(shù)據(jù)倉庫,分別對應(yīng)考生的高考分?jǐn)?shù)、錄取等級(高考等第)以及兩門高考選修成績。應(yīng)用關(guān)聯(lián)規(guī)則來挖掘模擬考試以及高考成績之間的規(guī)則。通過建立數(shù)據(jù)源視圖,建立關(guān)聯(lián)規(guī)則,從模擬考試和高考的事務(wù)集合中挖掘并找出滿足置信度和支持度要求的所有鏈接,挖掘模擬考試成績與高考成績之間隱藏的重要關(guān)聯(lián)。2)應(yīng)用決策樹分類來預(yù)測高考的錄取批次分類預(yù)測。即從高考分?jǐn)?shù)、高考等第和高考選修三個方面進(jìn)行決策樹建模,根據(jù)已知的模擬考試成績進(jìn)行高考成績的分類預(yù)測。將前面關(guān)聯(lián)規(guī)則挖掘到的規(guī)則應(yīng)用到?jīng)Q策樹分類中,從高考等第、高考選修兩個方面,得到應(yīng)用規(guī)則后的決策樹分類矩陣,比較兩者之間的分類差距。
[Abstract]:In China, the gaokao is arguably the largest and most influential talent selection system. College entrance examination is not only a kind of test means to select the talents of higher education, but also a test of the teaching quality of basic courses, so it is easy to disagree with the classification of the examination papers and the scores of the college entrance examination. Jiangsu Province as a famous education province, its college entrance examination has been quite concerned. Based on the results of a senior high school examinee in Haimen City, Jiangsu Province, this paper is based on the total scores of Chinese, mathematics and English, corresponding batches and two elective grades. In addition to the results, there are two graded elective courses in Jiangsu Province. Through the establishment of data warehouse for existing examinee score data, the application of OLAP, the establishment of intuitionistic data view, the creation of mining model, and the prediction of their final possible college entrance examination results by students' simulated test results. The main work of this thesis includes: 1) dealing with relevant scores of students in college entrance examination. The data are processed in a unified format, and the results of the college entrance examination are imported into the database, and a complete data warehouse is established, which corresponds to the scores of the examinees, the grades of admission (the first one) and the elective grades of the two subjects. The association rules are used to excavate the rules between the simulated test and the score of the college entrance examination. By creating a data source view, establishing association rules, mining and finding all links that meet the confidence and support requirements from the transaction set of mock exams and college entrance exams, Mining the hidden important relation between simulated test scores and college entrance examination scores. 2) applying decision tree classification to predict the matriculation batch classification and prediction of college entrance examination. That is to do decision tree modeling from three aspects of college entrance examination scores, college entrance examination and electives, and then classify and forecast the results of college entrance examination according to the known simulated test results. The rules mined by the former association rules are applied to the decision tree classification. From the two aspects of college entrance examination and college entrance examination, the classification matrix of the decision tree after applying the rules is obtained, and the classification gap between the two is compared.
【學(xué)位授予單位】：蘇州大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：G632.474;TP311.13

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