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Comparative Study of Pattern Mining Techniques for Network Management System Logs for Convergent Network
[chapter]
2012
Lecture Notes in Computer Science
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The work in [17, 18] , instead of acting on the time sequences as other works, concentrates on discovery of the structural data as the data collected from telecommunication network management systems ...
The a priori knowledge is required for the pattern mining algorithms for telecommunication data and this includes domain knowledge as well as detailed structural information [9] . ...
doi:10.1007/978-3-642-27872-3_16
fatcat:gb2cvolirvhxbh72byscv6bm3i
Interactive exploration of interesting findings in the Telecommunication Network Alarm Sequence Analyzer (TASA)
1999
Information and Software Technology
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In this paper we describe the final version of a knowledge discovery system, Telecommunication Network Alarm Sequence Analyzer (TASA), for telecommunication networks alarm data analysis. ...
TASA uses a methodology for knowledge discovery in databases (KDD) where one first discovers large collections of patterns at once, and then performs interactive retrievals from the collection of patterns ...
In the field of data mining or exploratory data analysis, the goal is to discover previously unknown information. ...
doi:10.1016/s0950-5849(99)00019-1
fatcat:4uud3z7nafejddtr23tpc6igcm
Data Mining Task Tools Techniques and Applications
IJARCCE - Computer and Communication Engineering
2014
IJARCCE
IJARCCE - Computer and Communication Engineering
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Data Mining refers to the mining or discovery of new information in terms of interesting patterns, the combination or rules from vast amount of data. ...
It helps in classifying, segmenting data and in hypothesis formation. With such a vast amount of data, there is need for powerful technique for better interpretation of these data. ...
Data Mining in Telecommunication industry helps in identifying the telecommunication patterns, catch fraudulent activities, make better use of resource, and improve quality of service. ...
doi:10.17148/ijarcce.2014.31003
fatcat:frbqpgkdhzhf5gnbk3g2fnrumm
Business Intelligence Using Data Mining for Organizational Sustainability: A Case Study of Digi Telecommunication Sdn Bhd
2018
International Journal of Academic Research in Business and Social Sciences
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This paper displays a log information explanatory process in telecommunication industry, for business intelligence intrigued by breaking down client and behavioural data to enhance their comprehension ...
This paper gives a demonstrated information explanatory strategy used to recognize variety kinds of attributes in telecommunication industry, specifically in Digi Telecommunication Sdn. Bhd, Malaysia. ...
Data mining exploits computational capacity to plunge further in meaning of patterns than immaculate statics. ...
doi:10.6007/ijarbss/v7-i12/3628
fatcat:zclvqzu2jvde5acw6qz6ammm24
Analyzing Customer Satisfaction Over Telecom Companies in Sudan Using Apriori Algorithm
2021
SHS Web of Conferences
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With the rapid growth in the field of information and communication technology, the demand for telecommunications and internet services increased over the years. ...
The survey questionnaire designed and distributed electronically to as many customers to find frequent patterns by applying association rule mining techniques. ...
Data mining can be defined as a process of discovering patterns and trends in large-scale databases, in which the information inferred can be used in decision making [3] . ...
doi:10.1051/shsconf/202112403003
fatcat:2vsuzpdp4jctbeiasmtwi5sniy
Enabling customer relationship management in ISP services through mining usage patterns
2006
Expert systems with applications
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The monopoly of state ownership of telecommunication industry in Taiwan was lifted in 1997. ...
In this study, we, based on the IP traffic data, developed a CRM systematic approach for a major ISP company in Taiwan to enhance customers' longer-term loyalty. ...
The structure of this paper is as follows. In Section 2, we provide the background information of ISP industry in Taiwan. Section 3 describes the methodology used in this research. ...
doi:10.1016/j.eswa.2005.07.016
fatcat:unyjjpbvlvecxc6egd7beemvje
Application of Data Mining in Telecommunication Industry
2019
International Journal on Recent and Innovation Trends in Computing and Communication
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in the development of versatile interchanges and the data society. ...
The telecommunications industry inside the division of data and correspondence technology is comprised of all Telecommunications/telephone companies and web access suppliers and assumes the urgent part ...
patterns. Multidimensional association and sequential patterns analysis. Mobile Telecommunication services. Use of visualization tools in telecommunication data analysis Telecommunication market ...
doi:10.17762/ijritcc.v7i1.5218
fatcat:yfgzq6kfj5e2rfwlbaxv4bipsq
Knowledge Discovery from Graphs
[chapter]
2001
Lecture Notes in Computer Science
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Knowledge discovery is the process of discovering useful and previously unknown knowledge by analyzing large databases. Knowledge ...
Example applications include fraud detection in telecommunication networks and classifying Web pages based on hyperlink structure. ...
Specifically, graph drawing can aid the process of knowledge discovery by providing visualizations that reveal useful patterns in the data. ...
doi:10.1007/3-540-44541-2_16
fatcat:ncfgplqoxzf5ho33uyoj4q7gl4
Electronic Fraud Detection in the U.S. Medicaid Healthcare Program: Lessons Learned from other Industries
2011
Americas Conference on Information Systems
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Electronic fraud detection systems are widely used in the insurance, telecommunications, and financial sectors. ...
Medicaid, a state-run, federally-matched government program which accounts for roughly one-quarter of all healthcare expenses in the US, has been particularly susceptible targets for fraud in recent years ...
Medicaid
Financial To review data mining techniques in order to discover financial fraud. ...
dblp:conf/amcis/TravailleMTH11
fatcat:dj33m7uabfc5zcgdixwhallzqa
Service monitoring and alarm correlations
2012
2012 IV International Congress on Ultra Modern Telecommunications and Control Systems
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Second part of this paper should open new perspectives of potential usage of given environment in service monitoring process, together with service structure model and additional sources of information ...
We can consider parts of telecommunications network as resources used for service providing. Global network problem is represented as sequence of alarms. ...
We have used test data from real telecommunication network, in order to make experimental proof of this concept. ...
doi:10.1109/icumt.2012.6459686
dblp:conf/icumt/JukicH12
fatcat:w5lp3qst6zhuxfglc4p7pqu3bm
Data Mining Technique: An Implementation of Association Rule Mining in Healthcare
2017
IARJSET
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Data mining plays vital role in various domains including healthcare, banking, retail, education, telecommunication, information security, finance etc. ...
Association rule mining is one of the data mining techniques which plays vital role for analysis and decision making and it is used to find out the various patterns or association in the item set. ...
Result in Rapid Miner
V. CONCLUSION The data mining works with the structured data that is the data which is in row and column format. ...
doi:10.17148/iarjset.2017.4710
fatcat:c2viphenzje3lakdbxr3kzjvni
E-stream: Towards pattern centric network incident discovery and corrective action recommendation in telecommunication networks
2015
2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)
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With the technological evolution in telecommunication networks, performance requirements such as better coverage, higher bandwidth, and lower latency have been pushed to new horizons. ...
E-Stream applies dimension reduction, data mining, and recommender system techniques in order to handle very high volumes of management events, identify and predict network incidents, and recommend candidate ...
For the PMM to find match patterns in the data stream the pattern itself must have been discovered beforehand by the EDM and classified by the ECM. ...
doi:10.1109/inm.2015.7140390
dblp:conf/im/RobitzschZQKMM15
fatcat:y4hkua5b2zeyhhiy54s2na2z54
Benefits of Using Data Mining Techniques for Business Intelligence
2022
Journal of Research in Science and Engineering
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The outcome of research shows that data mining tools are capable of discovering patterns in data in few hours those expert human quantitative analysts might not find in years of work to help make decision ...
This paper is discussing data mining techniques and business operations areas includes marketing, finance, fraud detection, manufacturing, telecommunication to improve their business and found excellent ...
By using clustering techniques we can further identify dense and sparse regions in objects space and can discover overall distribution pattern and correlation among data attributes. ...
doi:10.53469/jrse.2022.04(07).09
fatcat:jprcfyjtnbeppmtlw53bonz3je
Evolving connectivity graphs in mobile phone data
2017
Zenodo
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In this study we explored connectivity graphs evaluated based on mobile phone data to detect the pulse of the city. ...
We extracted several graph properties and detected unique patterns. ...
pulse that is reflected in mobile phone data. ...
doi:10.5281/zenodo.3975932
fatcat:sdm7on7r3rgbdfxq5groltubsa
Application of Data Mining in Predicting Cell Phones Subscribers Behavior Employing the Contact Pattern
2010
2010 International Conference on Data Storage and Data Engineering
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following telecommunication services becoming competitive, client contract management in this sector has again much importance. ...
Regarding the fact that a huge volume of telecommunication data especially details of the cell phone conversations exist, and they are practically not used, employment of data mining techniques on such ...
But in Data-mining most of the times we don not know what we are searching for. If important covered relation existed this appear and discover. ...
doi:10.1109/dsde.2010.57
dblp:conf/dsde/MansouriSA10
fatcat:wml6wmhomnhaljb4zuudvxdy4u
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