Descriptive Data Mining by David L. Olson (auth.)

By David L. Olson (auth.)

This booklet bargains an summary of data administration. It starts off with an creation to the topic, putting descriptive versions within the context of the general box in addition to in the extra particular box of information mining research. bankruptcy 2 covers info visualization, together with instructions for getting access to R open resource software program (described via Rattle). either R and Rattle are unfastened to scholars. bankruptcy three then describes industry basket research, evaluating it with extra complex versions, and addresses the concept that of carry. therefore, bankruptcy four describes smarketing RFM types and compares it with extra complicated predictive types. subsequent, bankruptcy five describes organization ideas, together with the APriori set of rules and gives software program aid from R. bankruptcy 6 covers cluster research, together with software program help from R (Rattle), KNIME, and WEKA, all of that are open resource. bankruptcy 7 is going directly to describe hyperlink research, social community metrics, and open resource NodeXL software program, and demonstrates hyperlink research software utilizing PolyAnalyst output. bankruptcy eight concludes the monograph.
Using business-related facts to illustrate versions, this descriptive publication explains how equipment paintings with a few citations, yet with out distinct references. the knowledge units and software program chosen are generally on hand and will simply be accessed.

Show description

Read or Download Descriptive Data Mining PDF

Best management information systems books

Inescapable Data: Harnessing the Power of Convergence

As communications, computing, and information garage converge, info is turning into completely ubiquitous. .. and that adjustments every thing. during this publication, prime facts administration visionaries exhibit how facts transforms how you do company, the applied sciences you employ, the investments you are making, the lifestyles you reside, and the realm you reside in.

Business Intelligence: The Savvy Manager's Guide

Attention-grabbing, well timed, and primarily, invaluable, Savvy courses supply IT managers the knowledge they should successfully deal with their technologists, in addition to rigorously tell company selection makers, in the middle of technological revolution.

The SPSS Guide to the New Statistical Analysis of Data

This publication is a self-teaching advisor to the SPSS for home windows laptop package deal. 'It is designed for use hand-in-hand with the hot Statistical research of knowledge by way of T. W. Anderson and Jeremy D. Finn, even though it can be used as a stand-alone guide in addition. This advisor is really easy to persist with on the grounds that all methods are defined in a simple, step by step layout.

Getting Started with Oracle Event Processing 11g

Create and strengthen real-world situation Oracle CEP functions review a different perception and engaging occasion pushed trip that breathes lifestyles into Oracle occasion Processing. discover the evolution and significant features of this leading edge Oracle product in a step-by-step, development block model. filled with samples and easy tutorials advanced via years of shut collaboration with specialist clients and experts.

Additional resources for Descriptive Data Mining

Example text

894, which was inferior to the degenerate case. For this set of data, balancing cells accomplished better statistical properties per cell, but was not a better predictor. Lift Lift is the marginal difference in a segment’s proportion of response to a promotion and the average rate of response. 1 Lift for equalized data groups ĐƵŵƉƌŽƉ ƋƵĂů response. The basic objective of lift analysis in marketing is to identify those customers whose decisions will be influenced by marketing in a positive way.

Analysis can uncover buried consumer spending patterns, and identify lucrative opportunities to promote products together. Schmidt reported Italian entrees, pizza, bakery pies, Oriental entrees, and orange juice as products most sensitive to price promotion. Analysis has revealed a high correlation of orange juice and waffle sales. Data mining analysis includes the entire process of not only identifying such correlations, but also deriving a reason for such relationships, and more important, devising ways to increase overall profit.

We are probably more interested in profit, however. Lift itself does not consider profitability. We can identify the most profitable policy, but what really needs to be done is identify the portion of the population to send promotional materials to. For our purposes, we demonstrate without dollar values (which are not available), noting that the relative cost of marketing and expected profitability per segment will determine the optimal number of segments to market. 1. Lift maxes out at Group 554, the 73rd of 125 cells.

Download PDF sample

Rated 4.16 of 5 – based on 23 votes