Binary Particle Swarm Optimization based Biclustering of Web usage Data

Web mining is the nontrivial process to discover valid, novel, potentially useful knowledge from web data using the data mining techniques or methods. It may give information that is useful for improving the services offered by web portals and information access and retrieval tools. With the rapid development of biclustering, more researchers have applied the biclustering technique to different fields in recent years. When biclustering approach is applied to the web usage data it automatically captures the hidden browsing patterns from it in the form of biclusters. In this work, swarm intelligent technique is combined with biclustering approach to propose an algorithm called Binary Particle Swarm Optimization (BPSO) based Biclustering for Web Usage Data. The main objective of this algorithm is to retrieve the global optimal bicluster from the web usage data. These biclusters contain relationships between web users and web pages which are useful for the E-Commerce applications like web advertising and marketing. Experiments are conducted on real dataset to prove the efficiency of the proposed algorithms

\u3cem\u3eIn Vitro\u3c/em\u3e Micropropagation of \u3cem\u3eTalinum portulacifolium\u3c/em\u3e L. through Axillary Bud Culture

The present study describes a protocol for rapid and large scale in vitro micropropagation of Talinum portulacifolium L. through axillary bud culture. The culture medium was optimized for propagation and high ex vitro survival rate was achieved. MS medium supplemented with 6µM BAP and 2µM IAA in combination was shown a better efficiency of shoot proliferation. Maximum of 8 new shoots were developed from a single explant (axillary bud) after 3 subcultures (subculture interval 15 days). Root development was facilitated by MS medium supplemented with both IBA (4µM) and NAA(1µM). Well rooted and partially acclimatized plantlets were transferred into poly cups for further acclimation

Ensemble Based Hybrid Variable Selection Method for Heart Disease Classification

In this paper, we proposed an ensemble-based hybrid variable selection model that aggregates various variable selection methods results based on majority voting approach to select a risk features subset in the heart disease datasets. The performance of the devised framework is evaluated using Z-Alizadeh Sani heart disease dataset from the UCI repository. Besides, we also compare this devised method with three non-ensemble variable selection methods namely the Chi-square test, Recursive Feature Elimination, and L1-Regularization. The selection process of the devised method is validated through a random forest classifier, it performs better in terms of specificity, sensitivity, accuracy, precision, and f1-score. The proposed method significantly enhances the accuracy of the heart disease classification model

A survey of water consumption and product output from ten sago factories in India

Most of the tapioca processing units in India separate starch from slurry by employing the gravity settling method. Sedimentation in settling tanks allows the contact of starch with water. This process leads to fermentation in which alcohols and organic acids are formed and polluting the environment. Wastewater from tapioca processing factories contain high chemical oxygen demand (11,077-19, 083 mg t l), low pH (4.33-5.60) and causes pollution. The effluent from tapioca industries is acidic and organic in nature, contributing biological oxygen demand in the range of 1500 to 2000 g mojo Inorganic constituents like phosphate, sulphate, chloride, and several metals are also found in trace quantities. This paper explains the water consumption, product output and effluent generation in tapioca processing industries. The average water requirement was 4.512 ml to process 1000 kg ofcassava tubers. When the tubers are used for starch manufacture, a product yield of 16. 7% starch, 1.6% dirty starch and 7.0% thippi were obtained, and 18.6% sago, 1.8% dirty starch, 19.1% peel and 3.9% thippi were obtained when the tubers are used for sago manufacture. About 95% of the consumed water is leaving the factory as effluent

Conservation Efforts Through \u3cem\u3eIn Vitro\u3c/em\u3e Seed Germination of a Hepatoprotective Plant - \u3cem\u3ePhyllanthus beddomie\u3c/em\u3e (Gamble) Mohanan

In vitro propagation of endangered plants can offer considerable benefits for the rapid cultivation of species that are at risk, that have limited reproductive capacity and exist in threatened habitats