Data Mining and Market Intelligence for Optimal Marketing Returns Review

Average Reviews:

(More customer reviews)This is the best market analytics book I have ever read. It provides a very complete, detailed, thorough and practical way to apply quantitative modelling, techniques, and methods to solve everyday problems in marketing, whether that is market planning, market investment, marketing design or implementation. High recommended!!!

Click Here to see more reviews about: Data Mining and Market Intelligence for Optimal Marketing Returns

The authors present a practical and highly informative perspective on the elements that are crucial to the success of a marketing campaign. Unlike books that are either too theoretical to be of practical use to practitioners, or too soft to serve as solid and measurable implementation guidelines, this book focuses on the integration of established quantitative techniques into real life case studies that are immediately relevant to marketing practitioners.* Provides a dual treatment of market research and data mining * Uses a how-to approach for professionals with illustrative case studies in addition to theory * Includes practical tips on how to create executive reports, dashboards, and a market intelligence infrastructure

Click here for more information about Data Mining and Market Intelligence for Optimal Marketing Returns

Read More...

Quantitative Corpus Linguistics with R: A Practical Introduction Review

Average Reviews:

(More customer reviews)I evaluated this book for use in my course in quantitative corpus linguistics and decided not to use it. The problem is not with the content, which is impressive; Gries knows his stuff and I learned a lot. Unfortunately, the format, structure, and execution of this book are seriously botched, and in the end I didn't want to subject my students to the pain that I suffered having to read it. Here are the major problems: (1) The exercise boxes promised in the introduction are inexplicably missing from the text (you need to go to the web site to find them). (2) The typeface is painfully tiny. (3) Some chapters are way too long (Chapter 3 is close to 100 pages, almost half the book). (4) The R code listings are even more unreadable than normal because all the whitespace has been replaced, for no good reason (R ignores whitespace), with gigantic black dots. (5) The index is one of the worst I've ever seen; for example, you won't find "bigram" or "ordinal" in the index, but the entry for "retrieve/search" (whatever that means) points to almost 100 pages. Linguists who want a general introduction to quantitative methods (not specific to corpora) would be much better off with the excellent texts from Johnson or Baayen.

Click Here to see more reviews about: Quantitative Corpus Linguistics with R: A Practical Introduction

The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to usethe open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of functions that currently require several programs to achieve- searching and processing corpora, arranging and outputting the results of corpus searches, statistical evaluation, and graphing.

Click here for more information about Quantitative Corpus Linguistics with R: A Practical Introduction

Read More...