1 / 5

CRM Assignment #1

CRM Assignment #1. Kritika Agrawal Montek Hura Namit Arora Priyanka Garg. WEB MINING. Web mining is the integration of information gathered by traditional data mining methodologies and techniques with information gathered over the World Wide Web Web Usage Mining Web Structure Mining

sherri
Télécharger la présentation

CRM Assignment #1

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. CRM Assignment #1 • KritikaAgrawal • MontekHura • NamitArora • PriyankaGarg

  2. WEB MINING • Web mining is the integration of information gathered by traditional data mining methodologies and techniques with information gathered over the World Wide Web • Web Usage Mining • Web Structure Mining • Web Content Mining Examples: The GB code, BIG5 code and HZ code

  3. CLICKSTREAM ANALYTICS • Clickstreamanalysis is the process of collecting, analyzing, and reporting aggregate data about which pages visitors visit in what order • Clickstream analysis is considered to be most effective when used in conjunction with other, more traditional, market evaluation resources. Example: Javascript

  4. PREDICTIVE ANALYTICS • Predictive analytics encompasses a variety of techniques from statistics, modelling, machine learning, and data mining that analyze current and historical facts to make predictions about future events Example: FICO score

  5. SPEECH ANALYTICS • Speech analytics is the automatic methods of analyzing speech to extract useful information about the speech content. Example: Phonetics, LVCSR (large-vocabulary continuous speech recognition), Direct Phrase Recognition

More Related