數(shù)據(jù)挖掘應用ppt課件(參考版)
2024-11-06 22:17本頁面
【正文】 Knowledge Engineering 62 (2021) 504–522 典型參考文獻 (2) 。a. Data mining in course management systems: Moodle case study and tutorial. Computers amp。bal Romero, Sebastia180。 ? 結合自己的實踐，說明所在崗位對商務智能的需求（針對軟件工程碩士）。(12, 18, 2, 8, 25, 10, 16). 搜索引擎優(yōu)化 搜索引擎優(yōu)化 ? They are usually not search engines by themselves. ? The clustering engine uses one or more traditional search engines to gather a number of results。 采用決策樹挖掘出人員選拔規(guī)則 CHAID Decision tree for predicting job performance Improving education Improving teaching and learning ? Instructors can have trouble identifying their real difficulties in learning. ? Based on the students’ testing records, the system works to identify and find those problems, and then es up with its suggestions for designing new teaching strategies. ? Assist teachers to identify students’ specific difficulties and weaknesses in learning. ? Helps the student to find out his or her weak points in learning and offers improvement remendations. ESL remender teaching and learning Right/wrong answer statistical table For every student, the system creates a right/wrong answer statistical table: a wrong answer is represented by 1 and a right answer by 0. Summary table of students’ wrong answers The right/wrong answer statistical tables for respective students are integrated in a summary table of students’ wrong answers, and the sum values in the table are then ranked in descending order so as to show the descending degrees of weaknesses the students have collectively . Hierarchical clustering Hierarchical clustering algorithm is then applied to data collected to segment the students into a certain number of clusters, or categories, each of which includes students sharing the same or similar characteristics. All students’ right/wrong answer statistical tables Clustering analysis ? A clustering analysis is made of the data in All students’ right/wrong answer statistica
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