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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
Exact Data sources consumer data from national database with approximately 210 million names, postal addresses, and telephone numbers, with approximately 700 selects, originating from over 2,000 different sources. Exact Data overlays its permission compliant, opt-in email address database from over 100 sources on that national database, to make what we believe is the best, most accurate and up to date multi-channel consumer database on the market. The database is compared to the USPS National Change of Address file every 60-days, and updated as necessary. And 15 to 20 million new email addresses are acquired each month, a rigorous, proprietary hygiene process is performed, and approximately 10%, or 1.5 to 2.0 million new email addresses, are appended to the national database.
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.
In real estate your business, consistency is fuelled by the number of contacts in your database. Here’s a tip to get the contact info of people you meet to enrich your contact list. You might get a chance to comprehend a number of techniques to converse with people while pursuing your real estate course; still this tip will help you to get leads for your business.
Clayton has built a suite of tools to identify loan fraud, credit and compliance risks. With our extensive database, we can also help you benchmark, track and trend loan portfolio and operational performance, and provide greater insight into regional and national mortgage trends. From front end risk quantification to dynamic performance monitoring, our tools assist in evaluating mortgage loans to allow for clearer and more confident decision making.
Thomson Data provides database lists for healthcare organization to bring business for IT industries to tackle a pressured situation
Poultry production is a growing business sector worldwide, owing partly to its profitability and partly to being a ready and affordable source of protein requirement for man. A major problem facing poultry is disease, a state of ill health that could lead to death or poor level of performance of the affected poultry. The scope of this paper, therefore, covers the control and management of disease outbreak in poultry, focusing on the tentative diagnosis of an implicated disease through software application. The software developed, called Pathfinder, using Java programming language and MySQL, provides users, e.g. veterinarians and animal health technologists, an easier, quicker and more precise procedure for tentative diagnosis of poultry diseases.