Implementation of Paper Genealogy in Subgraph Mining

Information networks contains many data base in the different search of area , Whenever a new researcher goes to search a topic , there are lots of papers , In those papers some are relevant to user define topic and some are unfamiliar to that topic.For making literature survey researcher needs to collect all information regarding domain which are relevant to that particular topic but there are many citations are available which contains huge amount of data where number of papersis presented by authors.It is very difficult to study all published papers, after analysing this problem an idea is created to solve the problem of search of all research papers with their citation. This paper is design to solve these entire problems, how to find out relative papers with respected query. This paper will be centred on creation of genealogy of all those published papers which will find out the all relevant papers according to user entered keyword it is startingworking of process, after that extraction part will be come in which discrimination of survey paper and implementation of paper will be extracting according to seminal papers it will create genealogy of those paper, by association and interlinking among all matching documents on the basis of references of each paper. The created Genealogy willhelpful for user to get a quick look of their searched topic at which papers are relevant to given query of research, So that all the seminal papers will be shown to user and usercan focus on only those documents . By this proposed work user neither looks on unwanted documents nor expend the time for searching the particular topic, which may increases scalability and efficiency of searching keywords

Secure kNN Query Processing using VD-kNN In an Untrusted Cloud Enviroments

At the moment, data is stored with a third party in cloud environments and query processing is also done by third party to reduce the amount to maintain the system. Mobile devices with geo-positioning capabilities register users to access information that is applicable to their present and current location. Users are interested in querying about points of interest (POI) in their physical concurrence. e.g. restaurants, cafes, gas station, etc. Objects specialized in various areas of interest (e.g., entertainment, and travel) gather large amounts of geotagged data that appeal to register users. Such data may be observant due to their substance. Furthermore, keeping such information latest form and applicable to the users is not an easy task , so the holder of such datasets will make the data available only to paying customers. Users send their current location as the query parameter and wish to receive as result the nearest POIs, i.e., nearest-neighbors (NNs). Keywords —Query services; kNN query; structural databases; mutable order preserving encoding

INVENTORY MANAGEMENT TECHNIQUE IN CONSTRUCTION

The concept of inventory management has been one of many analytical aspects of management. This involves optimizing the resources available to store various materials. Lack of inventory may lead to stock-outs, resulting in production downtime, but a very high inventory on the other hand may lead to an increase in production costs due to the high cost of inventory transport. Thus, inventory optimization should ensure that stocks are neither too low nor too high. Stocks such as finished products, work in progress, components, raw materials, stores, spare parts, etc. Represent 80% or more of working capital in some of the representative industries studied in the past. It would appear that any effort to rationalize inventories can lead to substantial savings. For example, a scientific control system can dramatically reduce investment in stocks, sometimes up to 50 percent or even more. This paper deals with ABC and EOQ Analysis of Construction Company and finally concluding section, project provides detail of financial analysis of effective utilization of inventory models in material management for cost reductio