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Improving the quality of data is a crucial task for business, health, and scientific data. Several data cleaning algorithms have been translated into tools to identify and repair data errors such as outlying values, duplicate records, typos, missing values, and violations of rules in general [1], [2], [3], [4].
New Service Development is a fundamental issue concerning researchers and managers, as successful new services can have a positive impact on competitive advantage. Innovation is an important factor which can positively affect firm performance. Unfortunately, the percentage of unsuccessful services is high that can be due to lack of strategy in New Service Development. When services are supported by...
Ranked lists are an essential methodology to succinctly summarize outstanding items, computed over database tables or crowdsourced in dedicated websites. Previous work has already addressed the problem of reverse engineering top-k queries over a database. However, existing systems fail to return any answer to the user when a precisely matching query has not been found. In this work, we tackle this...
Cloud computing now a day is leading edge for the IT companies each and every business organization trying to minimize their operational cost as much as they can. There is lot of competition among the various cloud service providers. There are lot of aspects on the basis of which they enhance their service. One of the aspects is ELASTICITY. This paper mainly deals with the various kind of elasticity...
This paper describes a conceptual structure of application, which based on user preferences personalize news feeds. Personalize news feeds application allows for user to save time and gives him only interesting articles, news.
This system is based on C/S architecture design and development of service-oriented architecture of financial information management system, users can end the system directly through the client-related operations, the user submits a request to the server, the server accesses the database, in order to ensure that the database security, according to the function of the system is divided module testing,...
NoSQL data stores have emerged in last years as a solution to provide scalability and flexibility in data modelling for operational databases. These data stores have proven that they are better suited for some kinds of problems than relational databases. In order to scale, they relaxed the properties provided by relational databases, mainly transactions. However, transactional semantics is still needed...
Business Intelligence is new important area of informatics. It presents options to work with data and provides basic theoretical determination of the issue. Business Intelligence as a process of transforming data into information and knowledge is one of the fastest growing areas of information technology. We want to deepen knowledge and skills and show how we can work with data and acquired important...
Enterprise Resource Planning [ERP] is a widely used system across all organizations regardless the size. The need for making rapid decision based on the analysis of the complex data lead to the use of ERP systems. In the beginning ERP systems were limited to large organizations. Later this trend has changed with the advent of open source ERP systems. With its added advantage, it started to take over...
Recently, the ability of the computer i s not only used in calculation, but also the ability to store and provide information that eventually formed a system called database. Database as data storage and processing center has a very important role in getting information. Information retrieval in database system is currently one that uses XML. In our study, we focus on defining queries using the operations...
This research is focus to identify factors related with people barriers when contributing their knowledge through virtual communities. We apply literature review study as main approach for research method. We collected articles from reputable database journals such as Emerald, IEEExplore, Google Scholar and ProQuest, we using term/keyword “barriers factors in contributing knowledge in virtual communities/online...
This paper describes the design, comparison and evaluation of two software solutions from business intelligence category for the purpose of improving report process in the one of the biggest European steel companies. Industrial companies very often use old information system, which were made many years ago. Management chooses business intelligence solutions and our task was to set up web portals and...
This paper deals with the interpretation of noun compounds based on a word similarity method. The experiment results provide the most similar noun compounds for the unfamiliar ones. We suggest that these results could be used as a recommendation database of noun compounds for the native or foreign language learners.
Social-media websites, such as newspapers, blogs, and forums, are the main places of generation and exchange of user-generated comments. These comments are viable sources for opinion mining, descriptive annotations and information extraction. User-generated comments are formatted using a HTML template, they are therefore entwined with the other information in the HTML document. Their unsupervised...
The objective of the project was to develop an android based mobile application which is targeted to be used in MICE (Meetings, incentives, conferencing, and exhibitions) applications. A cloud server is set up and is integrated with an iBeacon. The application functions on an Amazon EC2 instance and all the data involved in the App is stored in the cloud database in the form of tables. An iBeacon...
Data Analysis is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision making. Using analytical tools during recent years has become a key trend in the acceptance of timely and correct decisions. My contribution describes Business Intelligence (BI) using Microsoft SQL Server 2012. It focuses...
The data mining on web is difficult for online analytic processing (OLAP) with BIG DATA. The data mining is made simple by approximating the databases of BIG DATA for knowledge discovery process particularly MapReducing. The approximate information is fuzzy rather than probability. In this paper, fuzzy web data mining is discussed for BIG DATA for association rules. The query processing is discussed...
This paper describes the development framework Gloffer (Global Offer). Framework is designed in the form of generic design and it can implement any e-commerce site. In the article discusses the development model of the entire Framework and the subsequent implementation of various commercial modules. Solution includes the technological aspect, focusing on the implementation of modern technology, multilingual...
[Context]: The numerous challenges that can hinder software companies from gathering their own data have motivated over the past 15 years research on the use of cross-company (CC) datasets for software effort prediction. Part of this research focused on Web effort prediction, given the large increase worldwide in the development of Web applications. Some of these studies indicate that it may be possible...
Considering the fact that the current metrology management system is becoming a necessity, new software concepts are being developed in order to full fill the requirements of responsible technical persons for an alternative to existing ones. There's a necessity for an actual ERP model required by the world class competition, globalization, the modern business environment and nevertheless the availability...
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