Event Detection Based on Call Detail Records
نویسنده
چکیده
In this paper we propose the model of the inhomogeneous Poisson for call frequency and inhomogeneous exponential distribution for call durations to detect events based on mobile phone call detail records. The maximum likelihood method is used to estimate the rate of frequency and call duration. This work is useful for enhancing homeland security, detecting unwanted calls (e.g., spam) and commercial purposes. For validation of our results, we used actual call logs of 100 users collected at MIT by the Reality Mining Project group for a period of 8 months. The experimental results show that our model achieves good performance with high accuracy.
منابع مشابه
Anomaly Detection In Cellular Network Data Using Big Data Analytics
Anomaly detection is a key component in which perturbations from a normal behavior suggests a misconfigured/mismatched data in related systems. In this paper, we present a call detail record based anomaly detection method (CADM) that analyzes the users’s calling activities and detects the abnormal behavior of user movements in a real cellular network. CADM is capable of detecting the location o...
متن کاملApplying Call and Event Detail Records to Customer Segmentation and CLV
Acquiring and retaining the most profitable customers is a big concern of a telecommunication operator to perform more targeted marketing therefore business demand and competition between mobile operators is becoming more based on life cycle of customers in the network. In order to improve customer satisfaction and fulfill requirements, several data mining technologies can be used. Many researc...
متن کاملData Analysis and Summarization to Detect Illegal VOIP Traffic with Call Detail Records
Voice over Internet Protocol (VoIP) is an advanced area for researchers. Many different methods are used to send voice over IP networks. With the development of modern telecommunications equipments and softwares telecommunication’s malpractices are growing rapidly. Hence there is always a need for monitoring communications and guarantee both security and proper usage. This underlined research w...
متن کاملEstimating the effect of word of mouth on churn and cross-buying in the mobile phone market with Markov logic networks
Much has been written about word of mouth and customer behavior. Telephone call detail records provide a novel way to understand the strength of the relationship between individuals. In this paper, we predict using call detail records the impact that the behavior of one customer has on another customer’s decisions. We study this in the context of churn (a decision to leave a communication servi...
متن کاملDiscovery of Social Groups Using Call Detail Records
In this paper we propose the affinity model for classifying social groups based on mobile phone call detail records. We use affinity to measure the similarity between probability distributions. Since phone calls are stochastic process, it makes more sense to use probability affinity to classify the social groups. This work is useful for enhancing homeland security, detecting unwanted calls (e.g...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012