1 1 Slide Professor Chen-Huei Chou, Ph.D. School of Business College of Charleston South Carolina, USA Data Mining and Business Intelligence

2 2 Slide About Me n Professor Chen-Huei Chou, Ph.D. n Born in Taipei, Taiwan n Grew up in Taipei, Taiwan n Living in Charleston, SC, USA n My Contact Information: n My number in China:

3 3 Slide Languages I Speak n English n Mandarin n Taiwanese n Chengdu Dialect?

4 4 Slide n Founded in 1770 n Undergraduate: 10,488 n Graduate: 1,131 n Female students: 63.6% n Male students: 36.4% n Percentage of in-state students: 65.8% n Percentage of out-of-state students: 34.2% n U.S. states and territories represented: 49 n Countries represented: 62 University of Charleston

5 5 Slide About My College

6 6 Slide Commencement

7 7 About My School

8 8 Slide About My City—Charleston

9 9 Slide About My City—Charleston

10 Slide Education Background n Jianguo High School, Taiwan n B.S. in Information and Computer Engineering, Chung Yuan Christian University, Taiwan n M.S. in Computer Science and Information Engineering, National Cheng Kung University, Taiwan n M.B.A., Chicago, Illinois, USA n Ph.D. in Management Information Systems, Milwaukee, Wisconsin, USA

11 Slide Work Experience n Senior Computer Engineer, Acer Inc., Taipei Headquarters, Taiwan. n Instructor, University of Wisconsin-Milwaukee, USA n Professor, College of Charleston, USA

12 Slide My Research n Research Interest Web design issues, ontology development and learning, semantic Web, Internet abuse detection, data mining, text mining, knowledge management, and decision support systems. Web design issues, ontology development and learning, semantic Web, Internet abuse detection, data mining, text mining, knowledge management, and decision support systems. n Publications 25 articles published. 25 articles published. Selected journal publications Selected journal publications MIS Quarterly (#1 in MIS)MIS Quarterly (#1 in MIS) IEEE Transactions on Systems, Man, and CyberneticsIEEE Transactions on Systems, Man, and Cybernetics Journal of the Association for Information SystemsJournal of the Association for Information Systems Decision Support SystemsDecision Support Systems Computers in Human BehaviorComputers in Human Behavior Internet ResearchInternet Research

13 Slide Academic Activities n Editor-in-chief: International Journal of Knowledge Engineering n Journal Reviewer: Information Processing Letters (2006), Knowledge-Based Systems (2009—2015), MIS Quarterly (2011,2015), Expert Systems with Applications (2013), Journal of Teaching in International Business (2013), Internet Research (2014). n Conference Chair: ICIKM 2014 and 2015 (International Conference on Information and Knowledge Management) n Conference Program Co-Chair: ICCIA 2014 (International Conference on Computational Intelligence and Applications) n Invited Keynote Speaker for international conferences

14 Slide Academic Activities (Cont.) n Conference Program Committee: WITS 2009 (Workshop on Information Technologies and Systems), MIC 2011, DESRIST 2011 (Design Science Research in Information Systems and Technologies), ICISTM 2012 (International Conference on Information Systems and Technology Management), DESRIST 2012, MWAIS 2012 (Midwest Association for Information Systems), ICIKM 2013, ACIIDS 2015 (Asian Conference on Intelligent Information and Database Systems), CSWIM 2015 (China Summer Workshop on Information Management).

15 Slide What do you expect from this class?

16 Slide About This Class

17 Slide Class Page

18 Slide Class Schedule n 7/6 (Monday)B307 n 7/7 (Tuesday)B114 n 7/8 (Wednesday)B114 n 7/9 (Thursday)B114 n 7/10 (Friday)B114 ????? n Time: 1:50PM – 5:30PM

19 Slide Course Evaluation n Attendance ??% n Quiz ??% n Group Presentation ??% (last day) n Option A: Attendance + Quiz n Option B: Attendance + Group Presentation n Option C: Attendance + Quiz + Group Presentation

20 Slide Topics n Intro to Data Mining and Business Intelligence n Data n Descriptive Statistics n Distribution n Sampling n Prediction: Regression n Using Weka; Data Visualization n Classification n Evaluation Methods n Association Rule n Text Mining

21 Slide Style n Learn by Doing n Software Microsoft Excel 2013 Microsoft Excel 2013 Weka (free) Weka (free)

22 Slide About Final Group Presentaion

23 Slide Data Mining Group Team Presentation n Data is overwhelming. Where are your nuggets? n How can you find the gold nuggets. n But……how?

24 Slide Data Mining Group Team Presentation (Cont.) n The project allows your team to investigate your chosen dataset and apply data mining techniques to find nuggets. n See instruction on Course Page.

25 Slide We Need Groups!!

26 Slide Form Your Groups n We need to have groups formed by the end of classes today If you don’t have a group, I’ll play matchmaker If you don’t have a group, I’ll play matchmaker Do not leave until you have a group Do not leave until you have a group n Form groups with 5 members (not less) n We need 12 groups (Group 1 to 12) n If you finish forming your team, come reserve the group number for presentation order ( first come, first serve ) Identify your group leader Identify your group leader Provide full names and addresses Provide full names and addresses

27 Slide Who are we? n Your Name n Your Major n Your Computer Skills (e.g. operating systems, office suites, database, data network, programming, etc.) n Your Data Analysis/Data Mining Skills (e.g. descriptive statistics, probability, distributions, t test, ANOVA, simple regression, multiple regression, classification, prediction, clustering, association rule) n Other skills including presentation, social, leadership, and so on. n Something interesting Yes, we all have something interesting Yes, we all have something interesting

28 Slide Have Fun!!