The Information Retrieval (IR) system is facing lot of challenges due to the widespread usage of computers for mass storage and the availability of tremendous information in World Wide Web. Clustering of documents available improves the efficiency of IR system. The problem of clustering has become a combinatorial optimization problem in IR system due to the exponential growth in information ove...

Music plays a big role in our lives and forms a billion dollar industry. A lot of research goes into music recommendation and prediction especially with so many internet radio services coming up like Spotify, Pandora etc. Even though community detection, in general, is a well tackled problem in social and information flow networks, an interesting and fairly unsolved problem is that of identifyi...

A fuzzy-genetic data-mining algorithm for extracting both association rules and membership functions from quantitative transactions is shown in this paper. It used a combination of large 1-itemsets and membershipfunction suitability to evaluate the fitness values of chromosomes. The calculation for large 1itemsets could take a lot of time, especially when the database to be scanned could not to...

Nowadays keeping healthy has become one of the most important topics in our daily life. Keeping good mood is very helpful to one’s health. A lot of smart sensing systems have been designed and developed to detect human emotions. The physiological parameters obtained from the sensing system are then received and analyzed by computers. The physiological dataset collected by computers is then proc...

Since intensive wireless sensor networks have a lot of redundant information deficiencies, this paper applies clustering wireless sensor networks, distributed source coding algorithm discussed analysis. This algorithm initial reference source as side information source through a correlation between all sources to determine the coding sequence for the reference signal source, and, after the sour...

There has been lot of research in recent years for efficient web searching. Several papers have proposed algorithm for user feedback sessions, to evaluate the performance of inferring user search goals. When the information is retrieved, the user clicks on a particular URL. Based on the click rate, ranking will be done automatically. In this paper, we generate an algorithm called “A Fuzzy Self,...

There has been lot of research in recent years for efficient web searching. Several papers have proposed algorithm for user feedback sessions, one such algorithm called “Classified Average Precision”, was introduced to evaluate the performance of inferring user search goals. When the information is retrieved, user clicks on a particular URL. Based on the click rate ranking will be done automati...

In the previous years, wireless sensor networks (WSNs) got lot of attraction from the scientific and industrial society. WSNs are composed of huge number of small resource constrained devices recognized as sensors. Energy is a vital issue in WSN. Energy efficient clustering is an eminent optimization problem which has been studied extensively to prolong the lifetime of the network. This paper d...

Similar to the traditional approach, we consider the task of summarization as selection of top ranked sentences from ranked sentenceclusters. To achieve this goal, we rank the sentence clusters by using the importance of words calculated by using page rank algorithm on reverse directed word graph of sentences. Next, to rank the sentences in every cluster we introduce the use of weighted cluster...

Wireless Sensor Network (WSN) is becoming a very important area of research in today’s world and contributes a lot in the field of technology. Reducing energy consumption and improving the network lifetime is the key factor to be considered. In this paper, we propose a new protocol namely Minimizing Energy Consumption Using Unequal Clustering (MECUC). MECUC attempts to improve energy efficiency...