Different e-sources are regularly generating huge volumes of data. Data mining is the technique of gathering knowledge from a dataset, but dataset often contains sensitive information so discharging such data may cause privacy breaches. The problem of privateness desires to be is addressed earlier than streaming facts are launched for mining and evaluation functions. Various algorithms proposed so far have focused mainly on static data and very few are on data streams. Perturbation and k-anonymity have received significant attention over other privacy-preserving techniques because of its easiness and effectiveness in guarding data. The proposed hybrid approach is an extension to heuristic-based data perturbation where privacy is preserved through computed tuple values for each instance and users define sensitive drift (SD) and an extension to k-anonymisation where privacy gain has been worked out for choosy anonymisation for a set of tuples and perturbs the sensitive attribute values on data streams.
The automated categorization (classification) of texts into predefined categories is one of the widely explored fields of research in text mining.Now-a-days, availability of digital data is very high, and to manage them in predefined categories has become a challenging task.Machine learning technique is an approach by which we can train automated classifier to classify the documents with minimum human assistance.This paper discusses the Naïve Bayes, Rocchio, k-Nearest Neighborhood and Support Vector Machine methods within machine learning paradigm for automated text categorization of given documents in predefined categories.
The review summarizes different bioinformatics tools used in studying the degradation of various xenobiotic compounds. Databases and Pathway Prediction Systems are the key bioinformatics tools involved in biodegradation. Several bio-degradative databases including EAWAG-BBD (Biocatalysis/Biodegradation Database), Plastics Microbial Biodegradation Database, ONDB (Organonitrogen Degradation Database), Food risk component database (Food risk component database, Aromadeg (Aromatic hydrocarbon Degrading Database), OxDBase (A database of Biodegradative oxygenases), and RHObase database (ring-hydroxylating oxygenase database) have been developed for biodegradation and bioremediation studies. Users can use pathway prediction systems to predict degradation of xenobiotic whose degradation has never been reported in the literature. This review will help to design a strategy for biodegradation of chemicals therefore, also help in improved bioremediation process of chemicals.
In the current scenario, the majority of the applications are having the database and it is increasing day by day. The major problem is how to use those databases by sharing it for the societal benefit. So information security is the real concern while sharing the data with the third party. This article aims to implement cryptography on the horizontally partitioned database. There are number of PPDM techniques. Cryptography techniques [9] are one of the solutions for information securities. But each technique is having its own disadvantages. Means if we use individual encryption technique then hackers may misuse the data by decrypting it. So in this research article hybrid approach is used to secure the data. With the help of horizontally partitioned database table. symmetric and asymmetric techniques are used for the partitioned table. In the experimental result symmetric, an asymmetric and hybrid approach of encryption is discussed. This is an approach of implementing encryption on different attribute and different rows in one data set. The tabular and graphical analysis shown that this approach is comparatively good in PPDM.
Enquires whether information as to the amount in Rupees of gold and silver annually coined by the Native States can be furnished or obtained by the Foreign Department in regard to Native States (including Baroda) other than those under the Bombay Government. Finance Department will be able to supply the information required by Bombay Government. The case may go unofficially to that Department in the first instance. H. Sevestre—16th December 1884.
Purpose Web services play vital role in the development of emerging technologies such as Cloud computing and Internet of Things. Although, there is a close relationship among the discovery, selection and composition tasks of Web services, research community has treated these challenges at individual level rather to focus on them collectively for developing efficient solution, which is the purpose of this work. This paper aims to propose an approach to integrate the service discovery, selection and composition of Semantic Web services on runtime basis. Design/methodology/approach The proposed approach defined as a quality of service (QoS)-aware approach is based on QoS model to perform discovery, selection and composition tasks at runtime to enhance the user satisfaction and quality guarantee by incorporating non-functional parameters such as response time and throughput with the Web services and user request. In this paper, the proposed approach is based on ontology for semantic description of Web services, which provides interoperability and automation in the Web services tasks. Findings This work proposed an integrated framework of Web service discovery, selection and composition which supports end user to search, select and compose the Web services at runtime using semantic description and non-functional requirements. The proposed approach is evaluated by various data sets from the Web Service Challenge 2009 (WSC-2009) to show the efficiency of this work. A use case scenario of Healthcare Information System is implemented using proposed work to demonstrate the usability and requirement the proposed approach. Originality/value The main contribution of this paper is to develop an integrated approach of Semantic Web services discovery, selection and composition by using the non-functional requirements.
Traditional pavements constructed with neat bituminous binders are not able to cope with ever increasing traffic volume, increasing trends of axle loads (overloading), higher tire pressure and extreme climactic conditions and showing early signs of deterioration, leading to premature pavement failure. They require frequent maintenance to maintain the same performance level and, thus, result in higher maintenance cost, as well as road user cost, limited performance, short service life, and higher life cycle cost. To mitigate these problems, several types of measures may be effective; namely, improved design, improved and optimal use of materials, and more effective construction methods. Binder modification is a major breakthrough for improving the rheological and mechanical characteristics of neat bitumen in order to reduce its temperature susceptibility and improve its resistance to pavement distresses and, thus, enhance the performance, durability, and service life of bituminous pavements and overlays. In this paper, it is aimed to discuss all these aspects of modified bitumen in view of current developments to that highway engineers should understand, analyze by own and utilized this material optimally and economically with increased levels of confidence in their works in order to construct a pavement with higher performance and service life, least maintenance cost, least road closures and inconvenience to road users, and lower life cycle cost.
'%3e%3ccircle r='20' fill='%23008'/%3e%3ccircle r='17.5' fill='%23fff'/%3e%3ccircle r='3.5' fill='%23008'/%3e%3cg id='d'%3e%3cg id='c'%3e%3cg id='b'%3e%3cg id='a' fill='%23008'%3e%3ccircle r='.875' transform='rotate(7.5 -8.75 133.5)'/%3e%3cpath d='M0 17.5.6 7 0 2l-.6 5L0 17.5z'/%3e%3c/g%3e%3cuse xlink:href='%23a' transform='rotate(15)'/%3e%3c/g%3e%3cuse xlink:href='%23b' transform='rotate(30)'/%3e%3c/g%3e%3cuse xlink:href='%23c' transform='rotate(60)'/%3e%3c/g%3e%3cuse xlink:href='%23d' transform='rotate(120)'/%3e%3cuse xlink:href='%23d' transform='rotate(-120)'/%3e%3c/g%3e%3c/svg%3e)
