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Description: We live in the world of information explosion. There is information and data flooding out from nooks and corners of this world. There is information flowing from almost every domain from education management to space research. Businesses are growing and businesses are diversifying. There is a spirit of competition in the area. There is zeal to perform better and show results better than any other. Information helps, it helps gain a competitive edge. Managing information and data have become important like never before.

In an age in which data has to saved, secured, archived, and retrieved the functions or data mining and warehousing become indispensable. If data mining helps archiving data, data warehousing helps in putting the data in understandable formats and arranging it in such a way that it helps analyzing, predicting, forecasting and above all decision making in no time.

The biggest loophole in this era of information explosion is that there is enough information, information is churned out almost in an astronomical pace, but at the same time processing this information into understandable chunks is grievously late. This delays the decision making process which is in fact, if not an exaggeration, a life-force to businesses. Data mining and warehousing precisely aim to make businesses adept at decision making.

Conclusion:

The Technology Data Warehousing and Mining Techniques Final Seminar Report Review magazine posits that data mining is one of the top 10 emerging technologies that have the potential to change the world. Data Warehousing has an inherent potential to discover new information or information that was otherwise unnoticed. Data mining thus is a kind of discovery that unravels hidden patterns without any hypothesis. Enterprises are relying heavily on data mining. Data mining is now gaining a whole new prominence until a few years ago it was considered as an addendum to warehousing. Data mining now is an indispensable business tool in its own right.

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Description: The research paper Data Warehousing and Data Mining Final Year Seminar Topic talks about information explosion- the rate at which data is churned out and effective ways of securing the data. If data mining secures the data, data warehousing manages the data into accessible formats and makes it available in a prudent format that allows decision making in a quick and easy way.

The research paper talks about predictive data mining as the most efficient and productive types. The paper also talks about the three major responsibilities undertaken by the data mining process they are:

1. Exploration
2. Model building and pattern formation going hand in hand with validation/verification
3. Deployment ( prediction ensues this stage)

The research paper talks about the crucial aspects of data mining. They are

1. Bagging
2. Data reduction
3. Data preparation
4. Deployment

Models of data mining have been suggested in the research paper. They are:

1. CRISP
2. Six Sigma
3. Predictive data mining

Data warehousing is a process in which data is arranged in prudent formats that allows sensible decision making in no time. Data warehousing aims at making the decision making process ‘On-line’. The most effective data warehousing architecture will be incorporating or at least referencing all data available in the relevant enterprise-wide information management systems, using designated technology suitable for corporate data base management (e.g., Oracle, Sybase, MS SQL Server.

Conclusion: The research paper concludes on a note that although data mining and data warehousing techniques have revolutionized data management systems, there are many loopholes that cannot go unmentioned. There are many inherent and external threats that render the flow of data and securing it vulnerable. There are many effective techniques and applications that have been mentioned in the research paper already. Nevertheless both data mining and data warehousing have miles to go. The applications have to be considered solely from performance perspective.

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Description: The research paper Data Warehousing And Data Mining CSIT Seminar Topic comments about the age of information explosion we are currently in. It talks about the importance of securing and protecting a huge data base. It talks about various aspects pertaining to effective security measures of data base. It talks about the recent trends and future scope.

 

It has been observed that although the rate at which data is churned out is huge the rate at which it is processed and made applicable through analytical thinking and prudent decision making skills is pretty low. Now this could call for an alarming situation where in we see a data overflow not knowing what to do with it.

 

In a situation like this both data warehousing and data mining techniques and applications provide quick relief.

 

It is suggested in the research paper that data warehousing formats data in such a way that it is easily accessible, but at the same time if the format is not in a way as to facilitate the decision making process, the whole idea of data warehousing goes for a toss. The paper talks about managing information effectively so that decision making becomes an ‘on-line’ process. Such a thing will catapult businesses to a whole new world. Businesses thus would have a competitive edge like never before.

The paper suggests an evolution of extraction of data to processing it and utilizing it in the decision making process.

As the name itself suggests data warehouse stores a huge data. It compiles data at a point from various incompatible sources. This information is them processed into meaningful information for business analyses, comparison of data and scientific/business forecasts.

Conclusion:

Data warehousing along with data mining will give the organization viable customer care solutions. The processes offer transparency and this certainly enhances the customer loyalty factor. The techniques have gained widespread recognition and have a long way to go

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Description: The research paper DATA SECURITY  Data Transmission Over Networks speaks about how securely data could be transmitted over a network. It raises some significant threats to data transmission while passing through untrusted medium. It also casts light on the recent developments and best techniques to encrypt a data in order to secure it. It also talks about the possible challenges and threats. The research paper casts light on the efficiency of ‘cryptography’ and the scope of the domain in future.

 

The research paper also talks about ‘Steganography’ which is gaining popularity as a very effective method of securing the data. In this application the end use identifies a picture that will act as carrier of data. The data file is compressed and sent along with the image. The data is embedded into the image. It could be one means of securing the data sent. This way steganography is not very different from cryptography. Steganography comes up with many interesting ways of hiding the information and securing it from the third party.

 

The research paper talks about cryptographic algorithms that have been in vogue lately. The Switch key algorithm uses just one key to encrypt and decrypt. The Public key algorithm uses two keys and the Hash mode uses mathematical expression to encrypt the data irreversibly.

 

Both cryptography and steganography are useful for data security. Both can work excellently when performed together. Steganography works perfectly within the following formats. .bmp, .doc, .gif, .jpeg etc. 

Conclusion:

Both cryptographic and steganographic systems deal with securing the data in an effective way. Both the applications can prove very beneficial to the offices that operate through network systems.

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Description: The research process Data Mining and Neural Networks Final Seminar Report explains what data mining is. It also shows connectivity between data mining and neural networks. The last century and the current scenario have been witnessing a colossal increase in the amount of shared information. There has been an information explosion. With giant strides made in almost all the fields from education, IT, business, space research and many more there is a gigantic bulge of information every day. Predictions and scientific forecasts say that the trend is going to double every year and perhaps triple will be the amount of data that needs storing. And perhaps even more than that.

In a situation like this there is a greater need and demand to come up with efficient database management systems. This paper not only comments on the current effective trends of data mining but also future prospects. The research paper talks about the connecting link between data mining and neural networks and explains how effective functioning is achieved.

Clementine User Guide, a data mining toolkit describes data mining thus: ‘”using a variety of techniques to identify nuggets of information or decision-making knowledge in bodies of data, and extracting these in such a way that they can be put to use in the areas such as decision support, prediction, forecasting and estimation. The data is often voluminous, but as it stands of low value as no direct use can be made of it; it is the hidden information in the data that is useful” 

What is Neural Networks:

Neural Networks is an application that is analogous to the functioning of brain. A neural network is something like a neuron in the brain and this identifies a pattern in the data base. A neural network thus can identify patterns just as people do. Hence large databases can be effectively managed using neural networks. 

Conclusion:

The research abstract suggests the strides made by data mining by employing the applications used by neural networks. NN also increases the efficiency and security levels of a data mining operation.

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