Reducing Computational Complexity During User Data Analysis
First Claim
1. A method of handling data related to users in a telecommunication network to support analysis of said users, the method comprising the following steps:
- reading sets of parameter values obtained from traffic data of said users, each parameter value set being valid for a particular user and comprising values of two or more user-related parameters;
determining a first level quantization cell for each read set of parameter values according to a default first level quantization scheme, thereby populating first level quantization cells with users;
identifying clusters of first level quantization cells populated by users;
forming an adaptive second level quantization scheme by translating the identified clusters into second level quantization cells; and
assigning representative parameter values to each second level quantization cell, wherein the representative parameter values are used for analysing the users.
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Abstract
A method and apparatus for handling data related to users in a telecommunication network to support analysis of said users. Plural sets of parameter values relating to the users are read once, and a first level quantization cell is determined for each set of parameter values according to a default first level quantization scheme. Then, clusters of first level quantization cells populated by users are identified and an adaptive second level quantization scheme is formed by translating the identified clusters into second level quantization cells. Representative parameter values are also assigned to each second level quantization cell, wherein the representative parameter values are used for analysing the users.
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Citations
20 Claims
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1. A method of handling data related to users in a telecommunication network to support analysis of said users, the method comprising the following steps:
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reading sets of parameter values obtained from traffic data of said users, each parameter value set being valid for a particular user and comprising values of two or more user-related parameters; determining a first level quantization cell for each read set of parameter values according to a default first level quantization scheme, thereby populating first level quantization cells with users; identifying clusters of first level quantization cells populated by users; forming an adaptive second level quantization scheme by translating the identified clusters into second level quantization cells; and assigning representative parameter values to each second level quantization cell, wherein the representative parameter values are used for analysing the users. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A data handling unit configured to handle data related to users in a telecommunication network to support analysis of said users, the data handling unit comprising:
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a parameter reading unit adapted to read sets of parameter values (P) obtained from traffic data of said users, each parameter value set being valid for a particular user and comprising values of two or more user-related parameters; a cell populating unit adapted to populate first level quantization cells with users according to a default first level quantization scheme by determining a first level quantization cell for each read set of parameter values; a cluster identifying unit adapted to identify clusters of first level quantization cells populated by users; and a quantization unit adapted to form an adaptive second level quantization scheme by translating the identified clusters into second level quantization cells and assigning representative parameter values to each second level quantization cell, wherein the representative parameter values are used for analysing the users. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification