Identifying New Customers Using Machine Learning : A case study on B2B-sales in the Swedish IT-consulting sector
In this thesis, we examine machine learning as a tool for predicting new cus- tomers in a B2B-sales context. Using only publicly available information, we try to solve the problem using two different approaches: 1) a naive clustering based classifier built on K-means and 2) PU-learning with a random...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
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KTH, Skolan för datavetenskap och kommunikation (CSC)
2017
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210256 |