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IPTV Data Reduction Strategy to Measure Real Users’ Behaviours
November 2012
afidalgo
We present a strategy that deals directly with the real IPTV data, which result from the interaction actions with the set- top boxes by customers. But these data have a very low level of granularity, complex and difficult to interpret. The approach is to transform the clicking actions to a more conceptual and representative level of the running activities. Furthermore, there is a significant reduction in the data cardinality, enhanced in terms of information quality. More than a transformation, this approach aims to be iterative, where at each level, we achieve a more accurate information, in order to characterize a particular behaviour. As experimental results, we present some application areas regarding the main offered features in this digital service: zapping behavior, DVR service usage.
M. Sc. dissertation
Andre Fidalgo
João Moura Pires
UNL
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Andre Fidalgo, IPTV Data Reduction Strategy to Measure Real Users’ Behaviours, João Moura Pires (superv.), UNL, November 2012.
<b>Andre Fidalgo</b>, <u>IPTV Data Reduction Strategy to Measure Real Users’ Behaviours</u>, <a href="/people/members/view.php?code=542b14e1830dcf7566974fd36b6fccc7" class="supervisor">João Moura Pires</a> (superv.), UNL, November 2012.
@mastersthesis {afidalgo, author = {Andre Fidalgo}, title = {IPTV Data Reduction Strategy to Measure Real Users’ Behaviours}, school = {UNL}, note = {Jo{\~a}o Moura Pires (superv.); }, abstract = {We present a strategy that deals directly with the real IPTV data, which result from the interaction actions with the set- top boxes by customers. But these data have a very low level of granularity, complex and difficult to interpret. The approach is to transform the clicking actions to a more conceptual and representative level of the running activities. Furthermore, there is a significant reduction in the data cardinality, enhanced in terms of information quality. More than a transformation, this approach aims to be iterative, where at each level, we achieve a more accurate information, in order to characterize a particular behaviour. As experimental results, we present some application areas regarding the main offered features in this digital service: zapping behavior, DVR service usage.}, keywords = {IPTV,DataStream,ComplexEventProcessing,DataAnalysis}, month = {November}, year = {2012}, }
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