Interview on Analytically Speaking

Next week I'll be headed to SAS headquarters in Cary, NC for an interview on Analytically Speaking. I look forward to Anne Milley's thought-provoking questions! The announcement promises to walk through several of my research areas:

Just out: New Editions of Practical Time Series Forecasting (R and XLMiner)

I am glad to announce that the new editions of Practical Time Series Forecasting with R (Shmueli & Lichtendahl, Second Edition) and Practical Time Series Forecasting (Shmueli, Third Edition) are now available in print and ebook formats. The books are printed in the United States, Europe and India and are vailable globally. Kindle editions are also available worldwide.

Offering a FutureLearn MOOC on Forecasting

I'll be offering a six-week free massive open online course (MOOC) on Business Analytics Using Forecasting starting October 17. This will be NTHU's first English-language MOOC hosted on the slick FutureLearn platform.

Just published: "Analyzing Behavioral Big Data: Methodological, Practical, Ethical, and Moral Issues"

My paper (with discussion by 4 sets of authors and a rejoinder) that just came out in Quality Engineering, is aimed at introducing the community of industrial statisticians to the different challenges, opportunities and issues in analyzing "Big Behavioral Data" (BBD).

3rd edition of "Data Mining for Business Analytics" now published

Data Mining for Business Analytics, 3rd Edition

I'm glad to announce that the third edition of our textbook Data Mining for Business Analytics (with Peter Bruce and Nitin Patel) is now available! We added several cool and useful new topics: ensembles, uplift modeling, collaborative filtering, social network analysis, and text mining. The new edition also includes new examples and cases and XLMiner screenshots updated with the current software version.

Talk @ INFORMS: Trees for Detecting Simpson's Paradox in Big Data

Tomorrow at INFORMS's Data Mining Cluster @ 1:30pm, I'll be presenting my work (with Inbal Yahav) "The Forest or the Trees? Tackling Simpson’s Paradox with Classification and Regression Trees". I'll show the special use of the tree structure that we take advantage of in order to detect whether a dataset has Simpson's Paradox (reversal of a causal direction when disaggregating the data).

Tree based approach for addressing self-selection in Big Data: forthcoming in MIS Quarterly

My paper A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Big Data with Deepa Mani (Indian School of Business) and Inbal Yahav (Bar-Ilan University) is forthcoming in MIS Quarterly, in the special issue on Transformational Issues of Big Data and Analytics in Networked Business.

New textbook: Practical Time Series Forecasting with R

Last year I co-taught the Forecasting Analytics course at the Indian School of Business together with Casey Lichtendahl from Darden School of Business.

Launching data mining contest using #EZTABLE data

Our Institute of Service Science in collaboration with Taiwan's restaurant reservation website EZTABLE, is launching a data mining contest using two years of EZTABLE bookings data. The goal is to predict repeat-booking customers. This Taiwan-based open data mining contest is the first of its kind!

Introducing two new business analytics courses in Taiwan

This Fall, I'm teaching two new elective courses at NTHU's Institute of Service Science: Business Analytics using Data Mining and Business Analytics using Forecasting. The two new courses join three existing elective courses to form the new concentration in Business Analytics. The most important part is our focus on humane and socially responsible analytics.

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