"Hello,
Very nice and detailed post.
I have a question. Why only activity time and totatl activity were used for clustering? Why were other features left out?"
Raghavan Madabusi's Discussions
SFO City Crime Analysis with R
Started Aug 28, 2014 0 Replies 0 Likes
Predictive policing is been growing area of research where statistical techniques are used to identify criminal hot-spots in order to facilitate anticipatory and precautionary deployment of police…Continue
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Preeti Duraipandian commented on Raghavan Madabusi's blog post Call Detail Record Analysis – K-means Clustering with R"Dead link :("
"@Davide,
What Raghavan said is true in the context of a logistic regression model. Making a continuous variable into more similar "bins" helps the logistic regression algorithm pick out the riskier vs less risky bins. For example, if…"
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- Short Bio
- A Principal Technical Architect with strong business acumen and technical experience in Big Data, Cloud Computing & Traditional IT Projects.
- My Web Site Or LinkedIn Profile
- http://in.linkedin.com/in/rmadabusi
- Professional Status
- VP
- Years of Experience:
- 16
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- Treselle Systems
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Raghavan Madabusi's Blog
Importing and Analyzing Data in Datameer
Posted on June 19, 2017 at 6:30pm 0 Comments 0 Likes
Overview
Datameer, an end-to-end big data analytics platform, is built on Apache Hadoop to perform integration, analysis, and visualization of massive volumes of both structured and unstructured data. It can be rapidly integrated with any data sources such as new and existing data sources to deliver an easy-to-use, cost-effective, and sophisticated solution for big data analytics.
It simplifies data extraction, data transformation, data loading, and…
Continue Sales Data Analysis using DataIku Studio
Posted on June 15, 2017 at 2:30pm 0 Comments 1 Like
Overview
Dataiku Data Science Studio (DSS), a complete data science software platform, is used to explore, prototype, build, and deliver data products. It significantly reduces the time taken by data scientists, data analysts, and data engineers to perform data loading, data cleaning, data preparation, data integration, and data transformation when building powerful predictive applications.
It is easy and more user-friendly to explore the data and…
Continue Loan Prediction – Using PCA and Naive Bayes Classification with R
Posted on May 10, 2017 at 4:30pm 1 Comment 3 Likes
Overview
Nowadays, there are numerous risks related to bank loans both for the banks and the borrowers getting the loans. The risk analysis about bank loans needs understanding about the risk and the risk level. Banks need to analyze their customers for loan eligibility so that they can specifically target those customers.
Banks wanted to automate the loan eligibility process (real time) based on customer details such as Gender, Marital Status, Age,…
Continue Call Detail Record Analysis – K-means Clustering with R
Posted on May 10, 2017 at 2:00pm 1 Comment 2 Likes
Overview
Call Detail Record (CDR) is the information captured by the telecom companies during Call, SMS, and Internet activity of a customer. This information provides greater insights about the customer’s needs when used with customer demographics. Most of the telecom companies use CDR information for fraud detection by clustering the user profiles, reducing customer churn by usage activity, and targeting the profitable customers by using RFM…
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