Can someone please provide some assistance with this question. It is for an MBA course. It needs to be between 550 and 650 words. Name some of the drawbacks to the four data mining techniques used in Internet marketing? Thank you so much in advance for your help. I really do appreciate it.© BrainMass Inc. brainmass.com October 25, 2018, 10:06 am ad1c9bdddf
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According to Qi (2001), there are four data mining methods in general:
1. Predictive Modeling - the process of analyzing an existing database to identify the key characteristics of the data. It has two phases: training and testing. (techniques: decision tree and rules or neural networks)
2. Link Analysis - can be identifying trends by analyzing a collection of records. Techniques used for this analysis: sequential/temporary pattern analysis or association rules technique.
3. Database Clustering/Segmentation - grouping together by creating a partition, making sure all members of the same metrics are grouped together (neural and demographic clustering)
4. Deviation Detection - from a data consisting of a normative value, analysts discover the ...
* Four (4) data mining methods defined
* Drawback of the data mining methods example
* Issues in data mining
* 465 words
* Six (6) non-APA references
Gaming Hospitality Management
Please help me answer the 3 questions below. Thanks.
1.) How have digital communication technology and the mass media broadened the traditional gaming audience? How have gaming messages changed due to a wider audience? How has general public opinion about gaming changed in the last ten years?
2.) Examine the use of data-mining in reaching specific gaming audiences. How might the data collected be used as a marketing tool? Is the process of assembling profiles on customers ethical? Why or why not?
3.) Do you think online gaming should be subject to different regulations than casino gaming? Do you think online gaming for money should be legal? Why or why not?View Full Posting Details