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Proliferation of web as an easily accessible information resource has led many corporations to gather competitor intelligence from the internet. While collection of such information is easy from internet, the collation and structuring of them for perusal of business decision makers, is a real trouble. Text clustering based topic identification techniques are expected to be very useful for such application...
Nowadays, the number of internet users in Indonesia is increasing rapidly. This condition leads to possibility to use and analyze the data gathered from the internet users to show the big picture of the specific condition in certain region. Currently, there are some research on analyzing public mood, such as happy, sad, anger, fear, and neutral. The analysis itself consists of mood classification...
Online media is the most important media for accessing a wide range of information, such as news. Nowadays, there are many news agencies publish digital news via online media. The popularity of the online news makes the increasing volume of available news. This leads to the necessity of automated methods for news analysis, i.e. topics detection. One of The topic detection methods is the K-means algorithm...
Many researches have been carried out on network comments nowadays. In order to get more sentiment types, the paper put forward a opinion community discovery method based on sentiment of web comments and regional distribution, considering that Internet users from different regions have different perspectives on the same issue. First, the research clusters network comments into different opinion communities...
Distributed Denial of Service (DDoS) flooding attacks are one of the biggest challenges to the availability of online services today. These DDoS attacks overwhelm the victim with huge volume of traffic and render it incapable of performing normal communication or crashes it completely. If there are delays in detecting the flooding attacks, nothing much can be done except to manually disconnect the...
Web collaborate the huge amount of information logged about user accesses. Mining this information to gain deep insights into the Web site, its usage, and user visiting pattern is known as web data mining. In this paper the concept of data mining is summarized specifying about data type generalization and comparing various mining algorithms based on application and type of data. It discuss about Web...
Network traffic in the world wide is calculated to rise every year twice the times. To keep pace and profit from this increased amount of flows efficiently. And offer new services. Some efficient techniques needed. Day by day new applications are invented and they have heterogeneous nature in network environment and communication between these new devices also a critical part. improving the network...
Wireless Sensor Networks are widely used in various applications like maintenance of ecosystems, in militaries, hospitals, etc Also WSNs are used with the data gathering methods to enhance the resources and energy which lack in some performance parameters. So here, we are combining the concept of ferry to the WSN. In general, ferries are small commutator boats which carry or take the peoples from...
The rapid spread of location-based devices and cheap storage mechanisms, as well as fast development of Internet technology, allowed collection and distribution of huge amounts of user-generated data. These user generated data sometimes are known as georeferenced documents, they have their location information and time of posting embedded with them. These parameters help to retrieve the location information...
Online Social Networks (OSNs) provide platform to raise opinions on various issues, create and spread news rapidly in Online Social Network Forums (OSNFs). This work proposes a novel method for Profiling Forum Users (PFU) by exploring their behavioral characteristics based on their involvement in various topics of discussion and number of posts in respective topics posted by them in OSNFs dynamically...
In today's world there is a tremendous increase in the number of users using the Internet. As a result the e-commerce websites have been emerging to encourage the users of Internet. But these e-commerce websites are facing the problem in recommending the items to the users. In view of this challenge, an Agglomerative Hierarchical Clustering for Hybrid Recommender Systems approach is proposed in this...
Terrible network environment is damaging the critical infrastructure and the interests of internet users. In order to ensure the protection and resilience of attack, it is important to better analyze and observe network traffic for discovering anomaly. This paper presents a clustering algorithm by using network-layer and transport-layer statistical feature to classify anomaly traffic. Experiments...
Hindi is the fourth largest spoken language in the world. Nowadays in India, working on Internet using Hindi language is becoming popular. But Hindi language has several ambiguous words which affect on sense of the Hindi sentence. The word "Ambiguous" refers to "having more than one meaning or senses". The technique of examining the correct meaning of a word as specified in a given...
Clustering algorithms are some of the most important algorithms used to describe data attributes and very effective ways to mine and analyze big data set. In this paper, the whole description of vector space of Internet users is acquired by clustering and analyzing user behavior data set. Moreover, all users are divided into different clusters according to KPI which is to correlate different users...
With the rapid development of social networks, more and more users choose to share their own photos with their friends. Especially, users prefer to share the photos they took during traveling, thus there emerges many user generated content for place-of-interests (POIs). So based on the user contributed photos, we can summarize each POI by mining location-of-interest (LOI, which represents the attractive...
With the help of Internet, Massive Open Online Courses (MOOC) are recognized as a new path to learn courses via the web instead of in the traditional classrooms. MOOC can break many limits such as distance, time, participants, on the traditional courses. At the same time, it brings some new issues, such as high drop out ratio. Nowadays increasing MOOC courses are available and even more common people...
The paper identifies the scope of improvement for the search result of a web site. The study includes some commonly used clustering algorithms to identify the usage of clustering approach for improving web elements analysis, in various ways. As the Search result option is extensively used at almost every web site, the main focus is to optimize search result of a web site using clustering approach...
User behaviour analysis based on traffic log in wireless networks can be beneficial to many fields in real life: not only for commercial purposes, but also for improving network service quality and social management. We cluster users into groups marked by the most frequently visited websites to find their preferences. In this paper, we propose a user behaviour model based on Topic Model from document...
Internet using behavior of teenagers is very vulnerable to threats, because internet information has both positive and negative aspects in which teenagers try to imitate what they see, but they cannot judge for themselves what is appropriate or not. Teenagers are curious, and always want to know more about new thing, but they lack the experience in decision-making, and since this phase of life is...
The aim of this paper was to propose a classification system composed of monolingual classifiers and a multilingual decision module, for handling large numbers of multilingual documents. The system was compared with two monolingual classifiers, respectively for English and Polish, and with the maximum probability model. The tests were carried out over multilingual documents that contained components...
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