Here is the synopsis of our sample research paper on Managing Internet Marketing Information. Have the paper e-mailed to you 24/7/365.
Essay / Research Paper Abstract
An 11 page paper discussing various data
mining techniques and their applicability to marketing tasks. The paper examines searching
newsgroups postings, web mining and opt-in email lists as workable approaches to gaining
consumer information for the purpose of more narrowly targeting the Internet consumer. It
recommends a combination of web mining and opt-in lists as a realistic and cost effective
method of gaining valuable consumer information without entering the world of spam.
Bibliography lists 12 sources.
Page Count:
11 pages (~225 words per page)
File: CC6_KSdataMine.rtf
Buy This Term Paper »
Unformatted sample text from the term paper:
but as is normally the case with much of what he said and wrote in his lifetime, another of his sayings is still true today. He once said that
there are three kinds of lies: Lies, Damned Lies and Statistics (Anonymous, 1997; p. datamine). The statistics that can be gained through
data mining in todays electronic commerce environment can point marketers toward more narrow definition of their actual markets; help them align actual results with desired results; and better plan for
the future. That planning can take the form of aligning product offerings more closely with those customers already existing, or expanding product and service offerings to attract a broader
customer base. The purpose here will be to conduct a preliminary evaluation of employing data mining to enhance retail marketing efforts in an
e-commerce environment. Data Minings Significance The future of data mining is astounding, and even more
so when considering that despite the advances that have been made in recent years, its art and practice are still in their infancy. In its simplest form, data mining
is the electronic process of searching for patterns in events that have already occurred (Nash, 1998). The purpose can be to determine which websites generate the most traffic and
where that traffic originates, or it can be to track characteristics of repeat customers to an online merchants website. Increasingly popular is the use of data mining to discover
association rules in terms of which diverse products are purchased together or could be purchased together if the merchant would make all items available at the same time and in
...