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didattica:magistrale:kebi:ay_1819:main [2019/04/11 13:50] knut [News] |
didattica:magistrale:kebi:ay_1819:main [2020/09/17 16:55] (current) |
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| ===== News ===== | ===== News ===== | ||
| - | <WRAP center round 95%> | + | <WRAP box round 95% center> |
| - | * Next lecture will be on Monday, 6th of May 2019, 14:00!!!! | + | |
| + | **Lectures Dates Remaining**: | ||
| + | * Tuesday, 14th of May, 10 - 13 (AB2) | ||
| + | * Wedndesday, 15th of May, 10 - 13 (AB1) | ||
| + | * Monday, 3rd of June, 14 - 18 (AB2) | ||
| + | * Tuesday, 4th of June, 10 - 13 (AB2) | ||
| + | * Wedndesday, 5th of June, 9 - 13 (AB1) | ||
| </WRAP> | </WRAP> | ||
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| * Exercise: {{ :didattica:magistrale:kebi:ay_1819:ke-6-2-exercise_fuzzy_set_operations.pdf |Fuzzy Set Operations}} and Solution | * Exercise: {{ :didattica:magistrale:kebi:ay_1819:ke-6-2-exercise_fuzzy_set_operations.pdf |Fuzzy Set Operations}} and Solution | ||
| * Exercise: {{ :didattica:magistrale:kebi:ay_1819:ke-6-3-credit_analysis.pdf |Credit Analysis}} | * Exercise: {{ :didattica:magistrale:kebi:ay_1819:ke-6-3-credit_analysis.pdf |Credit Analysis}} | ||
| + | |||
| + | * Lecture "Machine Learning: Learning Decision Trees" | ||
| + | * Slides: {{ :didattica:magistrale:kebi:ay_1819:ke-7-1_machine_learing_and_knowledge_engineering.pdf |Machine Learning and Knowledge Engineering}} | ||
| + | * Slides: {{ :didattica:magistrale:kebi:ay_1819:ke-7-2_symbolic_learning_-_learning_decision_trees.pdf |Learning Decision Trees}} | ||
| + | * Reading Material: {{ :didattica:magistrale:kebi:ay_1718:decision_tree_learning_lecture.pdf |Decision Tree Learning}} | ||
| + | * Example: {{ :didattica:magistrale:kebi:ay_1819:ke-7-3_example_id3.pdf |Playing Tennis (also included in the lecture slides)}} | ||
| + | * Exercise: {{ :didattica:magistrale:kebi:ay_1718:exercise_learning_carsales.pdf |Auto Traders}} | ||
| + | * Exercise: {{ :didattica:magistrale:kebi:ay_1819:exercise_health_insurance_learning.pdf |Health Insurance: Learning Risk Assessment}} | ||
| + | * Assignment: {{ :didattica:magistrale:kebi:ay_1819:assignment_health_insurance_knowledge.pdf |Health Insurance: Combining Learning with Knowledge Engineering}} | ||
| + | * Tool: {{ :didattica:magistrale:kebi:ay_1718:weka_introduction.pdf |WEKA Learning Environment}} | ||
| + | * Data Sets: {{ :didattica:magistrale:kebi:ay_1718:datasets.zip |playing tennis, creditworthyness (CSV Files), car sales and Health Insurance (ARFF and Excel file)}} | ||
| + | |||
| + | * Lecture "Neural Networks" | ||
| + | * Slides: {{ :didattica:magistrale:kebi:ay_1819:ke-8_neural_networks.pdf |Neural Networks}} | ||
| + | |||
| + | * Lecture "Case-Based Reasoning" | ||
| + | * Slides: {{ :didattica:magistrale:kebi:ay_1819:ke-9-cbr.pdf |Case-Based Reasoning}} | ||
| + | |||
| + | * Lecture "Business Intelligence" | ||
| + | * {{ :didattica:magistrale:kebi:ay_1819:ke-10-business_intelligence_intro.pdf |Business Intelligence: Making Informed Decisions}} | ||
| + | |||
| + | * Lecture: "Business Performance Management" | ||
| + | * Slides: {{ :didattica:magistrale:kebi:ay_1819:ke-11_bi_bpm.pdf |Business Performance Management and Balanced Scorecard}} | ||
| + | * Slides: {{ :didattica:magistrale:kebi:ay_1819:ke-11-2_bi_bsc_with_adoscore.pdf |Balanced Scorecard with ADOscore}} | ||
| + | * Workshop: Balanced Scorecard for SwissBikes with ADOscore | ||
| + | * Tasks: {{ :didattica:magistrale:kebi:ay_1819:workshop_bsc_for_swissbikes.pdf |Balanced Scorecard for Swiss Bikes}} | ||
| + | * Case: {{ :didattica:magistrale:kebi:ay_1819:swissbikes1-04_engl.pdf |Swiss Bikes}} | ||
| + | * Solution: {{ :didattica:magistrale:kebi:ay_1819:exercise_bsc_swissbikes.pdf |Balanced Scorecard Development for SwissBikes}} | ||
| + | * Models: {{ :didattica:magistrale:kebi:ay_1819:bsc_swissbikes.zip |Balanced Scorecard Models for import in ADOscore}} | ||
| + | * Software: [[http://knut.hinkelmann.ch/download/ADOscore_stand-alone.zip|ADOscore Standalone]] | ||
| + | * {{ :didattica:magistrale:kebi:ay_1819:adoscore-installation.pdf |ADOscore Installation Instruction}} (Licence can be requested from Knut) | ||
| + | |||
| + | * Lecture: "Data Warehousing" | ||
| + | * Slides: {{ :didattica:magistrale:kebi:ay_1819:ke-12-bi_dwh.pdf |Data Warehousing}} | ||
| + | * Book: [[http://www.essai.rnu.tn/Ebook/Informatique/The%20Data%20Warehouse%20Toolkit,%203rd%20Edition.pdf|Kimball, R and Ross, M. (2013). The Data Warehouse Toolkit, 3rd Edition, Wiley and Sons.]] | ||
| + | |||
| + | * Lecture: "Reporting and Dashboards" | ||
| + | * Slides: {{ :didattica:magistrale:kebi:ay_1819:ke-13_bi_reporting_statistics.pdf |BI Tools - Frontend: Reporting and Dashboards | ||
| + | }} | ||
| + | * Poster: {{ :didattica:magistrale:kebi:ay_1819:better_reports_poster_by_ibcs.pdf |Better Reports}} | ||
| + | |||
| + | |||
| + | * Lecture: "Online Analytic Processing" | ||
| + | * Slides: {{ :didattica:magistrale:kebi:ay_1819:ke-14_bi_olap.pdf |BI Tools - Frontend: Online Analytic Processing}} | ||
| + | |||
