Fraud Detection in E-Commerce Using Machine Learning

Customers rely heavily on decisions to purchase products either on commerce sites or in online retail outlets. Since these reviews are the game changers for success or failure in product marketing, reviews are used for positive or negative ideas. Improper reviews may also be referred to as false / fraudulent reviews or spam comments or false reviews. To downgrade or advance the item, resentful audits or phony surveys, which are tricky, are posted in the web-based business site. This outcome will prompt possible monetary misfortunes or bigger measure of development in business.So, the proposed system is design and developed in such way that it will detect fake, false and spam reviews for fraud detection using machine learning approaches like Sentiment Analysis, Support Vector Machine (SVM), Decision Tree algorithm, and N-gram model

A Multi-Criteria Decision-Making Approach for Ideal Business Location Identification

Location has always been a primary concern for business startups to be successful. Therefore, much research has focused on the problem of identification of an ideal business site for a new business. The process of ideal business site selection is complex and depends on a number of criteria or factors. Since the ultimate goal of all businesses is to increase customer footprints and to thus increase sales, criteria including traffic accessibility, visibility, ease of access, vehicle parking, customers availability, etc. play important roles. In other words, we can say that optimal business site selection is a multi-criteria decision-making (MCDM) problem. MCDM is used to identify an optimal solution or decision out of many alternatives by utilizing a number of criteria. In mathematics, there exist a number of structured techniques for organizing and analyzing complex decisions, for instance, AHP, ANP, TOPSIS, etc. In this work, we present a hybrid of two such techniques to solve the MCDM problem for an optimal business site selection given a set of candidate sites. The proposed approach is based on the AHP (Analytic Hierarchy Process) and TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) approaches. The reason for using the proposed hybrid approach is multi-fold. The hybrid approach reduces the computational complexity and require less manual effort, thus improving the efficiency and accuracy of the proposed approach. Given a set of candidate locations for a new business, the proposed approach ranks the candidates. Thus, the candidate locations with higher ranks are identified as suitable or ideal. The approach comes up with the ranking of all of the candidate locations, thus giving business managers room to make calculated decisions. To show the effectiveness of the proposed approach, a detailed step-by-step case study is given to identify an ideal location in New York City for a new gas station. Furthermore, an experimental evaluation is also presented using a number of real New York City datasets.

WEB BOOK ORDERING USING ONLINE BOOKSTORE SYSTEM

The Internet by a wide margin assumes a significant part in individuals' life. It has radically improved the personal satisfaction also, the way of life of such countless individuals. It has augmented its branches into various levels and zones. The web based business industry is one such branch which has come into spotlight in the new years. The on the web book shop framework has facilitated the existence of so many book darlings by making it simple for them to buy books on the web. It is not generally practical to get to a customary book shop, it is restricted by its activity time, accessibility of a specific book, its area and in particular its ability and the space needed to store various books. Such downsides have prompted the development of online business businesses identified with book shops. Our undertaking is one such straightforward internet business site which houses different books of various classifications for a buyer to buy on the web.

Modelling the Incursion and Spread of a Forestry Pest: Case Study of Monochamus alternatus Hope (Coleoptera: Cerambycidae) in Victoria

Effective and efficient systems for surveillance, eradication, containment and management of biosecurity threats require methods to predict the establishment, population growth and spread of organisms that pose a potential biosecurity risk. To support Victorian forest biosecurity operations, Agriculture Victoria has developed a landscape-scale, spatially explicit, spatio-temporal population growth and dispersal model of a generic pest pine beetle. The model can be used to simulate the incursion of a forestry pest from a nominated location(s), such as an importation business site (approved arrangement, AA), into the surrounding environment. The model provides both illustrative and quantitative data on population dynamics and spread of a forestry pest species. Flexibility built into the model design enables a range of spatial extents to be modelled, from user-defined study areas to the Victoria-wide area. The spatial resolution of the model (size of grid cells) can be altered from 100 m to greater than 1 km. The model allows core parameters to be altered by the user, enabling the spread of a variety of windborne insect species and pathogens to be investigated. We verified the model and its parameters by simulating and comparing the outputs with the 1999/2000 Melbourne incursion, but no establishment of a forestry pest beetle was believed to be Monochamus alternatus Hope (Coleoptera: Cerambycidae). The model accurately predicts the distance and direction of the historic incursion, and the subsequent failure to establish is due to low overall population density of the pest species.

Russia's far east will see uneven investment

Subject Russia's far eastern regions. Significance Russia's far eastern zone includes its least developed regions, and the government is making determined efforts to attract investment, especially as China is now seen as a partner rather than an economic threat. The region's prime assets are proximity to growing Asia-Pacific economies and abundance of natural resources. Impacts Successful investment is likely to widen the urban-rural gap as industrial development is concentrated in a few locations. Vladivostok's status as a commercial centre will rise with the establishment of an 'onshore-offshore' business site on nearby Russky island. The city will strengthen ties with South Korea, offering maritime and potentially rail connections as well as making Mazda cars.