際際滷shows by User: erpunit2009 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: erpunit2009 / Tue, 25 Feb 2014 07:48:08 GMT 際際滷Share feed for 際際滷shows by User: erpunit2009 Telecom Fraud Detection /slideshow/telecom-fraud-detection/31619541 detectingfraud21-140225074808-phpapp01
A telecom company named as Bad Idea is expecting for fraudsters. They designed a weird rate plan called Praxis plan where only four calls are allowed during a day. Bad Idea has their call logs spanning over one and half months.We are using the Naive Bayesian Classification rule to predict the fraudsters for telecom company. ]]>

A telecom company named as Bad Idea is expecting for fraudsters. They designed a weird rate plan called Praxis plan where only four calls are allowed during a day. Bad Idea has their call logs spanning over one and half months.We are using the Naive Bayesian Classification rule to predict the fraudsters for telecom company. ]]>
Tue, 25 Feb 2014 07:48:08 GMT /slideshow/telecom-fraud-detection/31619541 erpunit2009@slideshare.net(erpunit2009) Telecom Fraud Detection erpunit2009 A telecom company named as Bad Idea is expecting for fraudsters. They designed a weird rate plan called Praxis plan where only four calls are allowed during a day. Bad Idea has their call logs spanning over one and half months.We are using the Naive Bayesian Classification rule to predict the fraudsters for telecom company. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/detectingfraud21-140225074808-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A telecom company named as Bad Idea is expecting for fraudsters. They designed a weird rate plan called Praxis plan where only four calls are allowed during a day. Bad Idea has their call logs spanning over one and half months.We are using the Naive Bayesian Classification rule to predict the fraudsters for telecom company.
Telecom Fraud Detection from Punit Kishore
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Data Mining Technique Clustering on Bank Data Set /slideshow/data-mining-technique-clustering-for-bank-data-set/28887001 clustering1-131204092230-phpapp02
Data Mining Technique Clustering on Bank Data Set by using rapid Miner.X means techniques ]]>

Data Mining Technique Clustering on Bank Data Set by using rapid Miner.X means techniques ]]>
Wed, 04 Dec 2013 09:22:29 GMT /slideshow/data-mining-technique-clustering-for-bank-data-set/28887001 erpunit2009@slideshare.net(erpunit2009) Data Mining Technique Clustering on Bank Data Set erpunit2009 Data Mining Technique Clustering on Bank Data Set by using rapid Miner.X means techniques <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/clustering1-131204092230-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Data Mining Technique Clustering on Bank Data Set by using rapid Miner.X means techniques
Data Mining Technique Clustering on Bank Data Set from Punit Kishore
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Brand Dossier of Micromax and Hypothesis Testing /slideshow/a-28694932/28694932 micromaxpresentation-131127221622-phpapp01
History of Micromax Positioning and repositioning Advertising Segmentation Product analysis Competitors Distribution strategy Competition tackling strategy Future directions Data analysis tool Sampling plan & sample size Hypothesis testing Hypothesis and its justification Summary & net take away ]]>

History of Micromax Positioning and repositioning Advertising Segmentation Product analysis Competitors Distribution strategy Competition tackling strategy Future directions Data analysis tool Sampling plan & sample size Hypothesis testing Hypothesis and its justification Summary & net take away ]]>
Wed, 27 Nov 2013 22:16:22 GMT /slideshow/a-28694932/28694932 erpunit2009@slideshare.net(erpunit2009) Brand Dossier of Micromax and Hypothesis Testing erpunit2009 History of Micromax Positioning and repositioning Advertising Segmentation Product analysis Competitors Distribution strategy Competition tackling strategy Future directions Data analysis tool Sampling plan & sample size Hypothesis testing Hypothesis and its justification Summary & net take away <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/micromaxpresentation-131127221622-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> History of Micromax Positioning and repositioning Advertising Segmentation Product analysis Competitors Distribution strategy Competition tackling strategy Future directions Data analysis tool Sampling plan &amp; sample size Hypothesis testing Hypothesis and its justification Summary &amp; net take away
Brand Dossier of Micromax and Hypothesis Testing from Punit Kishore
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https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/detectingfraud21-140225074808-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/telecom-fraud-detection/31619541 Telecom Fraud Detection https://cdn.slidesharecdn.com/ss_thumbnails/clustering1-131204092230-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/data-mining-technique-clustering-for-bank-data-set/28887001 Data Mining Technique ... https://cdn.slidesharecdn.com/ss_thumbnails/micromaxpresentation-131127221622-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/a-28694932/28694932 Brand Dossier of Micro...