Employee retention has become a major concern for organizations of any nature. Employee attrition is a costly dilemma for all organizations. In one of the survey it was found that 90% of those firms surveyed said it was more difficult to retain ta lented individuals than it was several years before. Therefore, it is imperative that organizations and managers recognize that retention must be a continuing HR emphasis and a significant responsibility for all supervisors and managers. Employee retentio n involves taking measures to encourage employees to remain in the organization for a longer tenure. The corporate world today is facing a lot of problems in retaining competent and able employees in the organization. It is very essential to recruit knowle dgeable people in the organization and it is still more important to retain them. Job mobility is increasing at a rapid pace and so recruiting competent people is also becoming difficult, especially in India .Organizations these days create an enabling cu lture to help employees retain in the organization and also to protect the existing skilled manpower, since there is no dearth of opportunities for a talented person. The main objective of this paper was to find the reasons of employee turnover in the org anizations and another objective of the research was to study the strategies to be employed, which should be adopted by the organizations to retain their employees.

The contemporary economic circumstances present numerous prospects and confronts to the existing banks. It is up to the banks to influence the opportunities to meet up the challenges to the best of their abilities. Banking Industry has observed a lot of chaos owing to the global financial crisis. The Reserve Bank of India (RBI), Ministry of Finance and other r egulatory authorities has made various remarkable efforts to get better regulation in the sector. Many of large banks operating in the market have exploited the changed regulations (viz., change in CRR and interest rate) to give better choices to prospecti ve customers. Acceptance of fresh practices to accommodate to the challenging economy situation has enabled the banks to meet up the varying customer necessities. As compare to other regional banks, over the last few years, Indian banks have achieved favor ably on growth, asset quality and profitability. This paper would throw light on latest development in area of banking with emphasis on confronts or challenges faced by Indian banking industry

The main focus of this research paper is to identify the investors’ perceptions towards investment decision in equity market. The sample size for the study w as 50 investors in Coimbatore and studied their attitude towards selection of stock, company, risk, equity portfolio, financial affairs and their expected return. Frequency analysis and various statistical tools were used to describe the variables. Suggestions given in the end will he lp the investors to sort out the errors committed by them in making investment decisions.

This paper, we proposes an algorithm for performing data partitioning along the data axis with the highest variance to improve the accuracy. The data partitioning tries to divide data space into small cells or clusters where inter cluster distance are large and intra cluster distance are small as possible. Cells are partitioned one at a time until the number of cells equals to the predefined number of clusters, K. The centers of the K cells become the initial cluster centers for K - means. The experimental results shows that the proposed algorithm will be more effective and efficient converge to better clustering results than the existing clustering.

High performance systems such as microprocessors, digital signal processors, filters, ALU etc. which is need of hour now days requires a lot of components. One of main component of these high performance systems is multiplier. Most of the DSP computations involve the use of multiply - accumulate operations, and therefore the design of fast and efficient multipliers is imperative. However, area and speed are usually conflicting constraints so that improving speed results mostly in larger areas. This paper investigates analysis of different multiplier for speed, area and memory usage. we try to present an efficient multiplier is produce fast, accurate and require minimum area. In this paper we will first study three different types of multipliers: array mult iplier, radix - 2 and radix - 4 modified booth multiplier algorithm. Then we compared the working of different multipliers by comparing the memory usage, speed and area by each of them. The result of this paper helps us to choose a better option to choose a be tter multiplier out of three multipliers in fabricating different systems

The higher education system has been experimenting with management approaches to deal with challenges arising from both internal as well as external factors. In this context, it is absolutely essential to assess the quality of education offered by an educa tional institution with specific reference to the reliability of how and when the learning takes place. There are lots of quantitative techniques available and some work in this area has been already done. But there is a dearth of literature focusing on th e relative efficiency. One advanced operations research technique which evaluates the relative efficiency is the Frontier Analysis or Data Envelopment Analysis (DEA). This paper attempts to use Frontier Analysis to assess the effectiveness of educational institutions, specifically a set of selected institutions offering engineering education in Tamil Nadu, India. The research has identified a set of input and output parameters for each institution, from which the efficient frontiers (DMUs) are determined. The relative efficiency of the institutions are measured with respect to the efficient frontier and then analyzed. Detailed recommendations are set forth, for appropriate interventions to address the specific gaps identified through the gaps analysis. The analysis further provides useful information and opens up new avenues for future research.

The aim of this paper is to analyze the exogenous and endogenous factors that determine the strategy of de - internationalization of SMEs in the sector of the footwear in the Metropolitan Zone of Guadalajara (ZMG). The proposed model explains the adoption of the strategy of de - internationalization from studies of comparative cases of SMEs in the footwear sector of the ZMG. In - depth interviews were applied to managers and staff involved during the time that the compan y was exporting. Analysis points out that lack of strategic planning and the instability in the foreign currency exchange rate are major factors that determine the strategy of de - internationalization in SMEs in the ZMG. Also, it is evident that the strateg ic imbalance during the de - internationalization strategy is not considered as a failure, but rather as an opportunity to redirect it and thus grow in the local market.

In Data Mining, clustering is one of the efficient techniques used to extract useful information from large quantities of data. A cluster is a collection of data objects relatively similar to one another in some respect and relatively dissimilar to the obj ects in other clusters. Clustering analysis is an important technique in data mining. It is a process of grouping a set of physical or abstract objects into classes of similar objects. Clustering can be viewed as unsupervised classification. Matrix Based Clustering (MBC) is a hierarchical clustering method with a goodness function based on notions of bond and inner bond that in turn involve direct and indirect link measures. MBC employs an operation close to matrix multiplication, but with a little modific ation. The matrix base is thought helpful for calculations on advanced parallel machinery. The goal is to achieve good clustering performance relative to other clustering methods. Real data is tested on MBC to provide useful classification information. Ma trix Based Clustering algorithm (MBC) measures the “bond" of two clusters based on a goodness function which is computed via matrix manipulation that utilizes not only direct links but also indirect links between two clusters. The effectiveness of MBC is d emonstrated with several data sets that contain points in 2D space, a couple of which cannot be captured by other methods such as OPTICS, CHAMELEON, or Matlab Fuzzy Clustering.