Background: In nuclear technology, the solvent extraction is an important step for recovery of rare earth materials, purification, radionuclide production, and preparation of nuclear reactor materials. Tributyl phosphate (TBP) and toluene are taken as extractant and diluent, respectively, for study of extraction efficiency for rare earth element like CeO 2 .

Frequent pattern mining is the most researched field in data mining. This paper provides comparative study of fundamental algorithms and performance analysis with respect to both execution time and memory usage. It also provides brief overview of current trends in frequent pattern mining and it applications. There are two categories of frequent pattern mining the algorithm, namely Apriori algorithm and Tree structure algorithm. The Apriori based algorithm uses generate and test strategy approach to find frequent pattern by constructing candidate items and checking their counts and frequency from transactional databases. The Tree structure algorithm uses a text only approach. There is no need to generate candidate item sets. Many tree based structures have been proposed to represent the data for efficient pattern discovery including FP-Tree, CAT-Tree, CAN-Tree, CP-Tree, and etc. Most of the tree based structure allows efficient mining with single scan over the database. In this paper, we describe the formatting guidelines for IJCA Journal Submission.

Power ultrasound energy has been extended to sample pretreatment and particle disruption, as a consequence of which its penetration to atomic and subatomic spacing enhances the extraction of materials from their ores. Solvent extraction technique was employed for extraction of cerium from rare earth element by use of compatible optimum blended solvent. Nanoceria was prepared using cerous nitrate (Ce(NO3)3 · 6H2O) and ammonium acid carbonate (NH4HCO3) as starting materials resulted from extraction of rare earth material by ultrasonic cavitation method. Experimental techniques like x-ray diffractometer, scanning electron microscope, transmission electron microscope, infrared spectroscope, UV-Vis spectra and fluorescence spectrophotometer are employed for characterisation and analysis of other material properties of the ceria nanoparticles. Thermo physical properties like density and viscosity were measured in aqueous ceria nanofluids for different temperatures and volume fractions. Measured values of thermal conductivity and ultrasonically computed values are compared for optimum concentration of CeO2 nanofluid and the effect of ultrasonication in enhancement of thermal conductivity is discussed.

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