Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Call Detail Records Driven Anomaly Detection and Traffic Prediction in
  Mobile Cellular Networks   Mobile networks possess information about the users as well as the network.
Such information is useful for making the network end-to-end visible and
intelligent. Big data analytics can efficiently analyze user and network
information, unearth meaningful insights with the help of machine learning
tools. Utilizing big data analytics and machine learning, this work contributes
in three ways. First, we utilize the call detail records (CDR) data to detect
anomalies in the network. For authentication and verification of anomalies, we
use k-means clustering, an unsupervised machine learning algorithm. Through
effective detection of anomalies, we can proceed to suitable design for
resource distribution as well as fault detection and avoidance. Second, we
prepare anomaly-free data by removing anomalous activities and train a neural
network model. By passing anomaly and anomaly-free data through this model, we
observe the effect of anomalous activities in training of the model and also
observe mean square error of anomaly and anomaly free data. Lastly, we use an
autoregressive integrated moving average (ARIMA) model to predict future
traffic for a user. Through simple visualization, we show that anomaly free
data better generalizes the learning models and performs better on prediction
task.

29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
6
The categories of this paper are: astro-ph
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat