BDOCS 2013 - IEEE Workshop on Big Data Mining Techniques for Online Sales and Customer
Topics/Call fo Papers
We invite the submission of original unpublished research and innovative work that is related to, but not limited to, the topics listed below. Topics include:
Big data Infrastructure for mining customer interaction data (e.g. cloud-based computation, map-reduce)
Large scale data storage and retrieval for ad-hoc querying or otherwise
Automatic discovery of new trends in online customer interests and intents
Machine learning algorithms to provide customers predictive multichannel and multimodal support
Dynamic predictive models for providing multichannel/multimodal customer support
Algorithms for developing user profiles
IVR analytics
Mobile analytics
Case studies of big data mining applications for providing online customer support
Big data Infrastructure for mining customer interaction data (e.g. cloud-based computation, map-reduce)
Large scale data storage and retrieval for ad-hoc querying or otherwise
Automatic discovery of new trends in online customer interests and intents
Machine learning algorithms to provide customers predictive multichannel and multimodal support
Dynamic predictive models for providing multichannel/multimodal customer support
Algorithms for developing user profiles
IVR analytics
Mobile analytics
Case studies of big data mining applications for providing online customer support
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Last modified: 2013-07-02 22:17:07