NDLI: Driving Profiles Computation and Monitoring for Car Insurance CRM

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ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 8

Issue 2, December 2016

Issue 1, October 2016

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A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs

Dystemo: Distant Supervision Method for Multi-Category Emotion Recognition in Tweets

Driving Profiles Computation and Monitoring for Car Insurance CRM

Soft Confidence-Weighted Learning

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 7

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ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 2

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 1

Driving Profiles Computation and Monitoring for Car Insurance CRM

Content Provider	ACM Digital Library
Author	Pedreschi, Dino Grossi, Valerio Monreale, Anna Nanni, Mirco Trasarti, Roberto
Copyright Year	2016
Description	Author Affiliation: ISTI-CNR, Pisa, Italy(Pedreschi, Dino; Grossi, Valerio; University of pisa, Italy (Monreale, Anna; Trasarti, Roberto); Nanni, Mirco)
Abstract	Customer segmentation is one of the most traditional and valued tasks in customer relationship management (CRM). In this article, we explore the problem in the context of the car insurance industry, where the mobility behavior of customers plays a key role: Different mobility needs, driving habits, and skills imply also different requirements (level of coverage provided by the insurance) and risks (of accidents). In the present work, we describe a methodology to extract several indicators describing the driving profile of customers, and we provide a clustering-oriented instantiation of the segmentation problem based on such indicators. Then, we consider the availability of a continuous flow of fresh mobility data sent by the circulating vehicles, aiming at keeping our segments constantly up to date. We tackle a major scalability issue that emerges in this context when the number of customers is large—namely, the communication bottleneck—by proposing and implementing a sophisticated distributed monitoring solution that reduces communications between vehicles and company servers to the essential. We validate the framework on a large database of real mobility data coming from GPS devices on private cars. Finally, we analyze the privacy risks that the proposed approach might involve for the users, providing and evaluating a countermeasure based on data perturbation.
Starting Page	1
Ending Page	26
Page Count	26
File Format	PDF
ISSN	21576904
e-ISSN	21576912
DOI	10.1145/2912148
Volume Number	8
Issue Number	1
Journal	ACM Transactions on Intelligent Systems and Technology (TIST)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-08-23
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Driving profiles Distributed clustering Privacy
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Theoretical Computer Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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