Annotated Bibliography On Multimedia Data

Data mining is a class of database applications that looks for hidden patterns in a group of data that can be

There have been significant works related to Multidimensional data mining. But there is hardly any work to find any work related to classroom utilization trend associating multidimensional pattern. But here we have presented some of the data mining technique that we may apply to this field.

and analyzing enormous sets of data and then extracting the meaning of the data. Data mining

Abstract - In the Data mining process, we can identify the patterns in the data that is hard to find using normal analysis. Several Mathematical and statistical algorithms are used in this approach to determine the probability of the event or scenario. The main aim of this process in terms of technical representation is to find the correlation amongst the attributes. There is a huge amount of discovery being carried out in this field creating a huge scope and jobs in this area. Several data mining algorithms are present that could determine different features present in the data that could lead in prediction and future analysis. Main Study report would consist of these algorithms that could help us predict and some sample data that we

A. Individually, find 3 sources: 1-2 scholarly articles using the library search tools and 1-2 multimedia resources (TED talks, Youtube videos, etc) about the Global Issue your team has selected.

What happened to the good old days when accounting records were all manual, now they are almost completely digital?

Data mining is the procedure of getting new patterns from large amount of data. Data mining is a procedure of finding of beneficial information and patterns from huge data. It is also called as knowledge discovery method, knowledge mining from data, knowledge extraction or data/ pattern analysis. The main goal from data mining is to get patterns that were already unknown. The useful of these patterns are found they can be used to make certain decisions for development of their businesses. Data mining aims to discover implicit, already unknown, and potentially useful information that is embedded in data.

To extract images from database by CBIR method, firstly user has to provide retrieval system and query image or sample facial image, after that retrieval system will perform operation on query image and change it into internal representation of feature vector. Then similar feature of feature between feature vectors of query image in database are calculated and retrieve the results in indexing form. The indexing results will help to find the image in dataset. This how the CBIR is working [14],[19] and also to more on study we used paper [18], which consist the study of 200 papers of CBIR method and parallel there was one more method is semantic image annotation, which overcome problems related with the CBIR method

As probably the most natural type of storing information is text and text mining is believed to have a commercial potential greater than that of data mining. The recent study indicated that 80% of a company’s information is including in text documents. Text mining, however, is also a more complex task as compare to data mining as it involves dealing with text data that are naturally unstructured and fuzzy. Text mining is a multidisciplinary area, involving information retrieval, text examination, information extraction, clustering, categorization, visualization, database technology, device learning, and data mining [2]. In Text Mining, patterns are extracted from natural language Textual Database. There are many methods of text mining. In general, the major approaches, based on the kinds of data they take as input,

As with the development of the IT technologies , the amount of cumulative data is also Growing. It has resulted large amount of data stock in databases therefore the Data mining comes into model to explore and analyses the databases to extract the interesting and previously obscure patterns and rules well-known as association rule mining It was first introduced in 1993.

Data Mining is considered as the effective knowledge process to perform the data value analysis so that effective data discovery over the application data can be performed. These kind of da mining operations are defined a low level

Data mining is finding the routines and examples in large databases to guide choices about future exercises. It is normal that data mining tools to get the model with negligible information from the client to identify. Data mining is the utilization of automated data analysis techniques to discover already undetected connections among data things. It regularly determines the

It also helps to present the data with reduced set of samples without representing the whole data set, which reduces the complexity in space and reduction in time. Data mining interesting knowledge includes identifying the relations, differences; groups based one the similar features extracted. Data mining mainly includes the mechanism for representing the data, Specification on required information and method to search the algorithm. Representation model used to represent the underlying data and interpretability of model which interacts with human.

In this dissertation a multimedia big data analysis framework for semantic information management and retrieval is presented. It contains three coherent components, namely multimedia semantic representation, multimedia concept classification and summarization, and multimedia temporal semantics analysis and ensemble learning. These three components are seamlessly integrated and act as a coherent entity to provide essential functionalities in the proposed information management and retrieval framework. More specifically:

In 21st century the entertainment has a huge toll on the people 's industrious life. After their hectic work schedules they started seeking entertainment in different ways. The one form of entertainment is multimedia such as music, TV shows, movies, video games etc... There comes the significance of multimedia database, which is a fundamental tool for proper organization of multimedia entertainment.