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jurnal clustering

Prolonging Life of Heterogeneous Wireless Sensor Network using Clustering Algorithm

The Wireless Sensor Network(WSN) is a network consist of many number of distributed sensor nodes. They are the main entity to be consider. WSN is used to provide many real world solution to certain problems. There are many applications in various fields like home, medical, military, etc. Sensor nodes sense the events for particular area and pass the information to base station from where human can get the data. Sensor nodes of WSN have limited capabilities in terms of battery life as well as data storage. In designing wireless sensor network the main issue is energy dissipation. Many routing protocols have been developed to decrease the power consumption of sensor node so that the life time of whole WSN can be increased. And now a days its become most important task to balance the energy of sensor nodes and manage it in proper way so that its could be beneficial for whole network. There are many hierarchical and location based routing protocols. Here in this paper, we have proposed one

Analysing User Posts for Web Forum using K-means Clustering

With the increasing sites for forums, online reviews and social networking, the current trend is to look up reviews, expert opinions and discussions on the Web, so that the user can make an informed decision. Sentiment analysis, also known as opinion mining is the computational study of opinions, sentiments and emotions expressed in natural language processing and text analysis. A basic task is classifying the polarity of a given text at the document or sentence, whether the expressed opinion in a document or a sentence is positive, negative, or neutral. It can help better understand the behavioral patterns of users in social media for applications. First, the behavior of individuals is collected through their unstructured posts in a forum. Second, they are classified as positive/negative posts and perform the clustering. Third, the cases are encoded in terms of features in some numerical form, requiring a transformation from text to numbers and assign the positive and negative values

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Analysing User Posts for Web Forum using K-means Clustering

With the increasing sites for forums, online reviews and social networking, the current trend is to look up reviews, expert opinions and discussions on the Web, so that the user can make an informed decision. Sentiment analysis, also known as opinion mining is the computational study of opinions, sentiments and emotions expressed in natural language processing and text analysis. A basic task is classifying the polarity of a given text at the document or sentence, whether the expressed opinion in a document or a sentence is positive, negative, or neutral. It can help better understand the behavioral patterns of users in social media for applications. First, the behavior of individuals is collected through their unstructured posts in a forum. Second, they are classified as positive/negative posts and perform the clustering. Third, the cases are encoded in terms of features in some numerical form, requiring a transformation from text to numbers and assign the positive and negative values

Review on Cluster-head Election Mechanisms for  Clustering Based Routing in Mobile Ad-hoc Network

Wireless Ad hoc network is a set of wireless devices which move randomly and communicate with other node via radio signal. Ad-hoc networks may be logically represented as a set of clusters by grouping together nodes on the basis of different criteria such as 1-hop and k-hop that are in close boundary with one another. Clusters are formed by diffusing node identities along the wireless links. Different heuristics employ different policies to elect cluster heads. Several of these policies are biased in favour of some nodes. As a result, these nodes should greater responsibility and may deplete their energy faster, causing them to drop out of the network. Therefore, there is a need for load-balancing among cluster-heads to allow all nodes the opportunity to serve as a cluster-head. In this paper, different cluster head election mechanism are discussed in the one hop clustering approach.

Clustering Based Routing Protocols for Wireless Sensor  Networks: A Survey

Due to the wide range of application of Wireless Sensor Networks (WSN)[1] the past few years have witnessed the potential use of it and also become a hot research area now a days. One the main degradation of WSN is that sensor nodes are battery powered and deployed in harsh environment so it is not possible to recharge or replace the batteries all the time the node fails or dead. WSN are used in various applications like environment monitoring, health care, military, industrial control units and in various other environments. Routing protocols developed for various other adhoc networks such as MANET, VANET etc can’t apply directly in WSN due to energy constrains of nodes. It is proved that sensor nodes require much energy to transmit data rather than sensing thus routing protocol developed for WSN should be efficient so that the network lifetime can be prolonged. In this paper, a survey on various Clustering routing protocols has been done indicating their merits

New update about payment gateway for college

They compared three different web usage mining techniques based on transaction clustering, usage clustering, and association rule discovery, to extract usage knowledge for the purpose of Web personalization.

Extraction based approach for text summarization using  k-means clustering

This paper describes an algorithm that incorporates kmeans clustering, term-frequency inverse-document-frequency and tokenization to perform extraction based text summarization

Improving Wireless Sensor Network Performance Using  BigData and Clustering Approach

Well-organized big data get together in the densely distributed sensor networks is, therefore, a challenging research area. One of the most effective solutions to address this challenge is to utilize the sink node’s mobility to facilitate the data gathering. While this technique can reduce energy consumption of the sensor nodes, the use of mobile sink presents additional Challenges such as determining the sink node’s trajectory and cluster formation prior to data collection. In this paper, we propose a new mobile sink routing and data gathering method through network clustering based on modified ExpectationMaximization (EM) technique. In addition, we derive an optimal number of clusters to minimize the energy consumption. The effectiveness of our proposal is verified through numerical results.

IAssociation Rule Mining: A Technique for Revolution in  Requirement Analysis

Data mining is the process of extracting interesting, useful and previously unknown information or patterns from large information repositories such as: relational database, data warehouses, XML repository, etc. There are various types of data mining techniques such as association rules, classifications and clustering. Association rule mining is one of the most important and well researched techniques of data mining. Among sets of items in the transaction databases or other data repositories, it seeks interesting correlations, frequent patterns, associations or casual structures. Association Rule Mining is a very potential technique which has the aim to find interesting and useful patterns from the transactional database. It is mainly used in market basket analysis that help to identify patterns of all those items that are purchased together. To denote association with itemsets and their quantities, the Quantitative association mining is used.

Review on Basic Clustering Techniques for  Heterogeneous Wireless Sensor Networks

Clustering technique is the basic technique used in the wireless sensor network to enhance the lifetime of a sensor network by mitigating energy consumption and provide efficiency, scalability, and security. Formerly sensor nodes are considered to be homogeneous in which each node has the same processing capacity, energy and functionality, but to prolong network lifetime researches has been evolved to infuse heterogeneity in wireless sensor network such as to provide different energy level to some nodes. In this paper, we present a survey on basic clustering techniques for Heterogeneous wireless sensor networks.

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