In this paper, we present a comprehensive review of recent developments in the application of machine learning algorithms to Spam filtering, focusing on textual approaches. We are trying to introduce various spam filtering methods from Naïve Bias to Hybrid methods for spam filtering, we are also introducing types of filters recently used for spam filtering along with architecture of spam filter and its types .In this paper we are proposing a technique using Local feature classification methods with K mean clustering algorithm in classifier, for spam filtering term selection we are using Document frequency method, for feature extraction we are using bag of words model for classification we are using k-mean clustering method along with local concentration based extraction of content. This method gives good results along with all parameters.

Cloud servers is a platform for enabling convenient, on demand network access to a shared pool of configurable server resources (memory, networks, storage, cpu, applications, and services) that can be rapidly provisioned and released with minimal management effort or cloud service provider interactions. Cloud servers are mostly being used; however, data security is one of the major barriers to adoption in cloud storage. Users can store data and used on demand or for the applications without keeping any local copy of the data on there machine. The Cloud servers storage technologies offers the promise of massive cost savings combined with increased IT agility due to pay per consume. However, this technology challenges many traditional approaches to hosting provider and enterprise application design and management. Users can able to upload data on cloud storage without worrying about to check or verify the integrity. Hence integrity auditing for cloud data is more important task to ensure users data integrity. To do this user can resort the TPA (Third Party Auditor) to check the data on the cloud storage is not violating the integrity. TPA is the expertise and having good knowledge and capabilities which users can not able to check. TPA audit the integrity of all files stored on the cloud storage on behalf of the users and inform the results. Users should consider the auditing process will not cause new vulnerability against the users valuable and confidential data also ensures integrity auditing will not cause any resources problem.

Regression testing is a significant but a very expensive testing process .Test case prioritization is a technique to schedule and execute the test cases in such an order that results in increasing their ability to meet some performance goal. One of the main goal is to increase the rate of fault detection –i.e. to detect the faults as early as possible during the testing process. Test case prioritization is used to minimize the expenses of regression testing. This paper  proposes  a technique  to select and prioritize the test cases and  results in   improving  the rate of fault detection.

This paper presents a new approach to count heart beat from ECG signals. This work is carried out using the Wavelet Transform]. The signals were acquired using an MATLAB SIMULATION of bioelectrical The ECG signals are obtained through the implant of electrodes connected to a channel of the front-end board. The cardiac rhythm is then obtained using an optic dactilar sensor connected to an independent channel of the ECG signal. In order to get a better identification of the acquired the Wavelet family db, sym, coif4 and bior 1.1 were chosen, primarily because its scaling function is closely related to the shape of the ECG, fitting very well with the applications constraints The processed signals were further analyzed using SIMULATION using MATLAB. The application to count hear beat from the ECG signals was developed by MATLAB 2008Rb and is capable of graphically representing the data before and after it's processed.

The overall objective of performing a set of instruction with wavelets to identify the impact of wavelets algorithms on optimization approaches by scope, performance and cost. This Self Literature Review is conducted on more than 20 articles, and develops the algorithms for MATLAB using wavelets and optimized the algorithms with respect to MSE, PSNR and bpp.