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70-374: Data Mining & Business Analytics Fall 2017 Instructor: John Gasper Oce: CMUQ 2160 Email: gasper@cmu.edu Course Time / Location: MW09:00 - 10:20AM, CMUQ 2035 Oce Hours: Tuesday 1-3pm & by appointment In general, I have an open door policy: if my door is open and I’m not meeting with someone, you are welcome to come in and meet with me. If my door is closed, I am not available (out of the oce, working, etc) ...
Data Mining for Business Analytics ISOM3360: Summer 2020 Course Name Data Mining for Business Analytics Course Code ISOM 3360 (3 Credits) Exclusion COMP 4331 Prerequisite ISOM 2010 Instructor Ka Chung NG (Boris) Office: LSK 4063 Contact Office Hours: By Appointment Email: kcngae@connect.ust.hk Begin subject: [ISOM3360] Course Schedule and Lecture: Tue, Thu & Sat: 9:00am-11:50am (Zoom) Classroom Lab: Tue, Thu & Sat: 12:00pm-12:50pm (Zoom) Course Webpage Accessible from Canvas Course Overview This course will change the way ...
Data Mining for Business Analytics Lecture 1: Introduction to Data Mining Stern School of Business New York University Spring 2014 P. Adamopoulos New York University P. Adamopoulos New York University Data Mining • A set of principles, concepts, and techniques that structure thinking and analysis of data • Extracts useful information and knowledge from large volumes of data by following a process with reasonably well defined steps • Changes the way you think about data and its role in business ...
Data Mining for Business Analytics ISOM 3360 (L1 & L2): Fall 2017 Course Name Data Mining for Business Analytics Course Code ISOM 3360 No. of Credit 3 Credits Exclusion(s) COMP 4331 Prerequisite(s) ISOM 2010 Professor Rong Zheng, ISOM Contact Office: LSK 4042 Tel: 2358 7642 Email: rzheng@ust.hk Office Hours Tuesday and Thursday 15:00 PM - 16:00 PM and by appt. Course Schedule and L1: Tue, Thur 09:00AM - 10:20AM Classroom L2: Tue, Thur 01:30PM - 02:50PM Lab1: Thur ...
Data Mining for Business Analytics Lecture 9: Representing and Mining Text Stern School of Business New York University Spring 2014 P. Adamopoulos New York University Dealing with Text • Data are represented in ways natural to problems from which they were derived • Vast amount of text.. • If we want to apply the many data mining tools that we have at our disposal, we must • either engineer the data representation to match the tools (representation engineering), or &bull ...
Galit Shmueli Peter C. Bruce Nitin R. Patel THIRD EDITION DATA MINING FOR BUSINESS ANALYTICS CONCEPTS, TECHNIQUES, AND ® APPLICATIONS WITH XLMINER Data Mining For Business Analytics ...
perpustakaan.uns.ac.id digilib.uns.ac.id BAB II TINJAUAN PUSTAKA 2.1 DASAR TEORI 2.1.1 Business Analytic 2.1.1.1 Pengertian Business Analytic (BA) Business Analytic adalah aplikasi dan teknik untuk mengumpulkan, menyimpan, menganalisis dan menyediakan akses ke data untuk membantu pengguna membuat lebih baik dan strategis keputusan (juga dikenal sebagai alat pengolahan analisis, business intelligence tools atau aplikasi business intelligence) (Turban, Aronson, Liang, & Sharda, 2007). Contoh penggunaan BA meliputi (Turban, Aronson, Liang ...
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