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The data entered may be a numeric value, Likert scale value, or yes/no response. Perform data analysis–The score sheets are stored in an online database in order to provide the flexibility needed to calculate the usability weights and comparative indexes.
Popular web hosting companies which provides better hosting solutions have now started offering their hosting plans on a monthly basis and the server space can always renewed and extended as per requirements, Microsoft’s IIS7 is the kind of web hosting in which you have a remote access to the server via normal windows Operating system which can be exercised from a remote location, it basically is a fully fledged Personal Computer hosting your website as well as allows to manipulate the databases by providing preinstalled SQL on the remote machine, this service comes handy when an individual have to edit/alter database.
Video-based object or face recognition services on mobile devices have recently gained significant attention.Cloud systems start to be utilized for services to analyze user data in the region of computer vision. In these services, key points are extracted from images or videos and the data is identified by machine learning with large database of cloud.Detecting Person-OfInterest (POI), e.g., fugitives, criminals and terrorists in public spaces is a critical requirement of many law enforcers and police officers. Face recognition applications for airport security and surveillance can benefit from the collaborative coupling of mobile and cloud computing as they become widely available today
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Data mining is the process of extracting interesting, useful and previously unknown information or patterns from large information repositories such as: relational database, data warehouses, XML repository, etc. There are various types of data mining techniques such as association rules, classifications and clustering. Association rule mining is one of the most important and well researched techniques of data mining. Among sets of items in the transaction databases or other data repositories, it seeks interesting correlations, frequent patterns, associations or casual structures. Association Rule Mining is a very potential technique which has the aim to find interesting and useful patterns from the transactional database. It is mainly used in market basket analysis that help to identify patterns of all those items that are purchased together. To denote association with itemsets and their quantities, the Quantitative association mining is used.
- One of the most important and promising branches of Artificial Intelligence (AI) is Machine Learning (ML),which strive to make a machine intelligent by “learning” from the data. Information Retrieval is also a popular and predominant technique having as one of its application, the ubiquitous Search Engine. Search Engine optimization (SEO) has seen remarkable advancements during the recent years. The objective of this paper is to optimize the existing predictive search mechanism by incorporating pattern based Machine Learning techniques, the association with a Semantic Database, Natural Language Processing of search query to produce more relevant predictions to the user. The main intention is to provide diversified but apt, intelligent predictions for both the diversified set of users whose domain of search queries is not constrained, as well as for the dedicated researchers whose domain will be confined, coupled with an optimal balance between the Response times, Relev
Teradata Database is an information repository supported by tools and then resources that can make it a complete and effective relational database management system .Teradata designers produced Teradata Database from generally off-the-shelf hardware components.
Automatic Number Plate Recognition (ANPR) system is highly accuracy-demanded application for car identification. This paper presents a new method of block-based ANPR system for recognition of Indian car license number plates. Since number plate guidelines are not strictly practiced in India and wide variations found on these plates in terms of font type, character size, screws/dots etc., it often becomes difficult to correctly identify the non-standard number plate characters. This proposed method works well with both standard and nonstandard Indian number plate images taken under various illumination conditions. By using the block-based feature extraction process this method of recognition provides a high recognition rate of 98.2% and speed up the processing time of each character to 3.3ms when using a database of 3399 character images.