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Data Mining Book Review: Data Mining for Managers

February 18, 2015 by · 1 Comment
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dmmRichard Boire recently published Data Mining for Managers – How to use data (big and small) to solve business challenges. The particularity of this book is to bring a new (non-US) view of the field. What I mean by “new” is that examples and case studies are from Canada and thus not appearing in other data mining books.

The book provides good examples of business problems to solve using data mining. It has a strong focus on ROI rather than techniques and algorithms. Coverage is broad with topics such as privacy, CRM, data storage, social media, text mining, retail, credit risk, segmentation and finance. Chapters are short (3-10 pages) and go straight to the point. The book is thus easy to read but miss a deep review. The chapter about privacy is very interesting.

For managers, Boire’s book is an excellent introduction to the field. For data miners, the book gives interesting non-US examples that provide a high level overview of industrial applications. In summary, Data Mining for Managers is a broad and non-technical overview of the field, with a fresh perspective from Canada.

Data Mining for Managers: How to Use Data (Big and Small) to Solve Business Challenges

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Data Mining Interview: Dr. A. Fazel Famili

January 21, 2015 by · 1 Comment
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FazelHere is an interview with Dr. A. Fazel Famili, a data mining expert with more than 30 years of experience. Thanks Fazel for answering the questions of Data Mining Research.

Data Mining Research (DMR): Could you introduce yourself to the readers of dataminingblog.com?

Dr. A. Fazel Famili (FF): I was as a Research Scientist at the National Research… Continue reading... | 1 Comment

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Data Mining Book Review: Applied Predictive Analytics

January 2, 2015 by · 2 Comments
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APAThere are at least four kinds of books within data mining field. The first category focuses on theory and algorithms. The second one deals with specific tools and languages. The third class is for Management and C-level. The fourth group is concerned with practical applications and guidelines. Dean Abbott’s book, Applied Predictive Analytics – Principles and Techniques for the Professional… Continue reading... | 2 Comments

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Next-Gen Business Analytics Paving the Way to Success in 2015

December 14, 2014 by · 220 Comments
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Let me welcome Amit Kumar for a guest post on Data Mining Research. Thanks Amit for your content.

Business analytics give arrangements which help to settle on key choice and business strategies by gathering expansive data and information. You would find that it does have not simple but complex data like profits, losses, transactions, marketing return, customer feedback and so forth. Normally business analytics programming is utilized to create… Continue reading... | 220 Comments

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Job Offer: Data Scientist at Expedia (Geneva)

November 19, 2014 by · 1 Comment
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We are hiring a Data Scientist in Competitive Intelligence at Expedia, Geneva. Here is an excerpt of the job offer:

Expedia (Expedia.com) is currently recruiting for a talented individual to aid the industry-leading Competitive Intelligence function in improving understanding of all aspects of competitors’ product supply across the Lodging line of business.
The existing team is based in Geneva and serves a critical role in directing the organization’s efforts… Continue reading... | 1 Comment

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My new job

November 3, 2014 by · Leave a Comment
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Dear readers,

A short post to let you know that I recently changed my job. I’m now a Data Scientist at Expedia. After 3.5 years in the Track & Trace and Authentication domains at SICPA, I will now apply data mining in the world of Online Travel Agency (OTA)! Although less frequently, the blog is still updated. These days, I often post book reviews and guest posts. However, I plan to… Continue reading...

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Data Mining Book Review: Big Data, Data Mining and Machine Learning

November 2, 2014 by · 3 Comments
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big_data_data_mining_and_machine_learningJared Dean, from SAS Institute, published a data mining book for managers and non-specialist practitioners. This nicely written book achieves its goal by providing a broad view of the field. The book has a bias towards SAS, but the good side is that the author shares his personal experience with data mining.

Each topic from predictive analytics to segmentation and… Continue reading... | 3 Comments

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