Category: CSE Seminar Topics

Introduction to Paper Presentation on Data Ware Housing and Mining in Banking and Finance Sectors:

Banking and financial sectors are maintaining huge electronic data repositories which store valuable bits of information. So it is very difficult for the human analysts to make decisions patterns with the huge data so data ware housing and data mining concepts are used to increase the performance. In this paper we will discuss the areas of implementation of data mining techniques like portfolio management and risk management, trading and customer profiling in order to increase the business performance.

Brief in to data ware housing and data mining concepts:

Various risk management techniques are used in business management for generating patterns and for exposure of the business. To make integrated measurements we will use market and credit risks methods which focus on the financial models which interact with the overall market. By credit risk method lending decisions are made and they identify the risk in lending to the perspective borrower.

The data mining technique gives a perfect scenario analysis of the capabilities concerned and their asset prices and returns and the risk involved in the market. Portfolio method is used by the risk management which generates the risks at various levels and also stimulates market conditions based on the varying interest and the exchange rates.

Advantages of using Data mining techniques:

By using data mining techniques we can identify the various classes of consumers based on the product by which we can generate a better revenue management. The data mining technique helps to solve the problems generated, as it generates patters on the causality and the correlations which cannot be solved immediately but the sequential checking of the pattern we can come to solution.

 Download  Paper Presentation Report on Data Ware Housing and Mining in Banking and Finance Sectors.

Introduction to Data Transmission Using Multitasking Sockets:

The transmission of data through multitasking sockets is more flexible when compare to other transmission methods. This provides a high security for the data to be transmitted. By using multitasking sockets for data transmission we can establish more number of connections which is not possible in other transmission sockets. In this paper we will discuss how data is transmitted by using multitasking sockets and about the advantages of using multitasking sockets when compared to that of other transmission sockets.

Working process of multitasking sockets:

In this we find transmitting sockets at both the client side and the server side. The server accepts the connections from the clients and regulates the flow of data. By using multitasking sockets we can regulate the flow of data without the need of connection. These sockets use transmission control protocols for the regulating the flow the data.

The sockets can work under any platform and the logic designs of the sockets are programmed using java. These sockets work under normal hardware specifications to higher specified equipment.

Advantages of using multitasking sockets:

By using multitasking sockets we can communicate between two applications without the need of establishing a connection.  We can make a inter process communication between two applications by employing multitasking sockets. 

As the UDP protocols are used in the multitasking sockets it establishes the connections to the peers and disconnects it automatically upon requirement. Thus we can conclude that multitasking sockets are more advantageous and has fewer limitations when compare to that of other transmission sockets.

 Download  Data Transmission Using Multitasking Sockets Seminar Abstract.

Introduction to  Seminar Topic on Data Security in a Network Transmission:

The main objective of this design is to provide data security in a transmission networks. In this paper we will see about providing security to internet transmission networks. Security measures are taken for the flow of data so as to prevent the data getting hacked from hackers. Providing data security has become a high priority due to rapid development and growing use of mobile and wireless communication networks.

Security tools for providing data security:

Security issues arise when there are more no of requests on a server as its capability goes down and data can misplace and it does have a control over the data sent. Due to IP spoofing the other user can use the service which is a security threat for the network. Due to session hijacking the hackers gets control over the sensitive data and when the user signs off his session the hackers gets login and perform any illegal activity.

By using security firewalls we may have very less chances for the data getting hacked as the firewalls stops the unwanted requests while we are in a session. By making regular backups we can protect the data streams from security threats. We can avoid security breaches by regularly updating the database packages and the operating system.

Advantages of providing data security:

Security tools in data transmission networks are prominent for providing the requested data only for the authorized users. Proving data security is very important in banking and companies otherwise the data can be easily hacked and the hackers can misuse the data. Several companies are spending a lot of money to provide data security and many countries are incurring billions of losses due to security threats.

 Download  Latest CSE 2012 Seminar Topic on Data Security in a Network Transmission.

Introduction to Seminar Topic on Survey Analysis on Data Mining:

Survey analysis refers to a collection of data regarding a specific item and making a clear analysis of it and making a presentation on it. Survey analyses are most commonly done on a product in a market environment. By doing the survey analysis we can know its merits and demerits and we can construct precautionary plans for increasing the sale of a product. In this paper we will see how surveys are conducted and analysis is prepared based upon the opinion given by the consumers.

Process of conducting surveys:

In today’s competitive world many companies are conducting surveys to know the opinion of the consumers so as to make changes of the product according to the given review. While making a survey the questions to be asked should be framed in a relevant manner so as to acquire the required data for coming to a conclusion. We should not concentrate on the opinions where we could not get the opinions.

We should not come to a conclusion depending upon the opinions given by the majority people this may sometimes result in a bad survey design. After the commencement of the survey the data is filtered so as to give a good result for the data collected. The collected data is also represented in the form graphical designs for easy understanding.

Advantages of surveys:

Surveys conducted on a regular basis helps to meet the objective of the survey conclusion. Surveys helps to pertain the position of a product in a market environment and they by helps to make changes depending upon the requirement and to withstand the competition.

 Download  Latest CSE Seminar Topic on Survey Analysis on Data Mining.

Introduction to Data Mining and Warehousing PPT Presentation:

Introduction to Data mining and warehousing:

Data mining and warehousing is the technique of extracting the predictive information from the present large databases. So it is very difficult for the human analysts to make decisions patterns with the huge data so data ware housing and data mining concepts are used to increase the performance. By using Data warehousing a relational database is created for performing the query and analysis instead task processing. In this paper we will discuss the areas of implementation of data mining and warehousing techniques to increase the business performance.

Brief on Data warehousing and mining techniques:

In Data mining the huge databases are analyzed into useful information based on different perspectives. Depending upon the consumer preferences and logical the data is grouped and divided into clusters. By using the data mining algorithms we can easily track the model scores and we can easily reconstruct the consumer preferences based on the demand.

Data warehousing is the relational database which contains historical data derived from the transaction process and from the underlined data sources materialized views are generated which is used for speeding up the query process. In data warehousing accessing base relations are distributed among various sources so the data bases may unavailable sometimes due to the relations.

Conclusions:

By using the data mining and ware housing techniques we increase the productivity in the decision making and we can make substantial and accurate analysis. Data mining and warehousing techniques are highly scalable and they load performance. These techniques are used in security fields for face recognition mechanism and in judiciary purposes for giving judgment to similar cases and in Biometrics and web store designs.

 Download  Data Mining and Warehousing PPT Presentation.

Introduction to Technical Seminar Topic on Data Mining and Ware Housing:

The main objective of this paper is to give idea of data mining. As the usage of data gathering electronic devices are increasing day to day and as a result number of databases is also increasing. There is a possibility of data explosion. Each and every business organizations have some related information about them. The information which is being stored may be so important for their business. Data Mining has many benefits for any business such as analyzing the data etc.

Brief into Data Mining-Ware housing:

Data Mining in general is defined as the search of relationships that are stored in their large databases but may be somewhere hidden. These relationships finds much useful because they give valuable knowledge about the database and their objects. These involves different stages like selection, preprocessing, transformations, datamining, evaluation. First the data is selected, then it preprocesses such that all the unnecessary information is being removed .

In transformations stage some overlays may be added to data. Patterns of the data are being extracted in data mining stage. The pattern is then identified by the system and is interpreted such that it can support human decision-making. The process of extracting and transforming operational data into informational data is defined as data warehousing. The informational data is then stored in some central data storage.

This data can be accessed by desktop query and some analysis. The warehousing is considered as subject oriented, integrated, time variant and is not volatile. 

 Download  Technical Seminar Topic on Data Mining and Ware Housing.

Introduction to Seminar Topic on Data Clustering and Applications:

Introduction to data clustering:

Due to storage of large databases the fast retrieval of information has become a growing need. To achieve fast retrieval of information various methods are being used but data clustering has is efficient method for this purpose.  To improve the processing speed the information is stored which is of logically similar and they are physically stored together.   In this paper we will how data clustering method is implemented and its applications in the fields of data mining.

Data clustering method and implementation:

In data clustering process the entire databases are divided into clusters on a similarity of characteristics. To avoid the confusion regarding the classification of the clusters the classifications are provided to the predefined classes. The similar clusters are taken in regular intervals and the different clusters are determined by calculating the distance the intervals. A similarity matrix form is used for calculating the similarity of the objects.

There are different clustering methods available depending upon the output requirement the particular methods is implemented.  One of the important clustering methods are portioning method in which the clusters are represented in the form of centroid and the other method is hierarchical algorithm method in which closely related clusters are merged together.

Applications of data clustering:

The data clustering has immense number of applications in the life of the mankind. Data clustering has various applications related to database in the computer fields. These are mainly used in the information retrieval systems.

 Download  Seminar Report on Data Clustering and Applications.

Introduction to Digital Audio Broadcasting Seminar Topic:

Introduction to DAB:

Digital audio broadcasting is an advanced technology used for transmission and reception in mobile communication. This is an advanced compressed technology by which we can achieve higher spectrum efficiency rather than a conventional FM radio signals. Digital audio broad casting technique came into existence in the year 1981 and is being developed to achieve higher efficiencies. In this paper we will discuss how this technique is employed in the networks to provide high quality audio output.

Working of Digital audio broadcasting:

The analog audio sequence will be converted into a digital audio sequence by using a sampler. The Digital audio broadcasting signals operate at a frequency ranging from 30 mhg to 3 ghz. The audio compression technique employed is MPEG algorithm.

To divide the input stream into multiple bands it is made to pass through a filter bank. In the channel codes present in the network each signal is coded individually and made to pass through a main service channel and they are multiplexed. We employ a orthogonal frequency division multiplexing technique by which more no of carriers are employed on the signal.

Applications and Advantages:

The digital audio broadcasting technique is employed for communication in terrestrial satellites and broadcast networks. By using digital signals we can achieve high noise immunity and these signals are reproductive when compared to normal analog signals. the digital audio signals allow various digital audio processing techniques to be employed.

 Download  Digital Audio Broadcasting Seminar with Report.

Introduction to Brain Computer Interface Project:

The main objective of this research is to design a system which can directly communicate with the computer network. By using this technology a person’s brain can directly interact with the computer network by which a person’s capabilities can be far extended.

These are used for paralyzed persons so as to communicate with the outer world with the system attached for their body. In this paper we will discuss about the design of brain interface system and how they are implanted to paralyzed persons.

Working of Brain computer interface system:

Brain computer interface are called as direct neural interface which allows a two way a communication between brain and external device. The neuroprosthetics is an area of neuro science which is similar to brain computer interface technology.

Electroencephalograph is implanted in the device which detects the brain signals and software analysis the signals.

If a artificial limb is connected to a physically disabled person then software takes certain time to analyze the signals and by certain practice it detects the signals the signals of the hand movement.

We find different types od brain computer interfaces depending upon the usage. Invasive brain computer is used for providing vision for the damaged sight persons. Non invasive brain computer interface are used for providing signal to artificial limbs.

Applications and Drawbacks:

These are mainly used for proving artificial capabilities to the disabled persons. By making implants we can control the video games.

By making nerve implants the communication through a direct medium is possible which are used in military applications. There are certain tiny signals occurring in brain which a electroencephalograph cannot detect which need to be overcome. 

 Download  Brain Computer Interface Project Report .

Introduction to Technical Seminar on Cyborg Technology:

A machine can communicate in a fast process by using digital signals whereas as a human being can communicate by means of slow process through speech signals. by using cybernetic organism a human being communicate in fast process as his central nervous system is interfaced with a machine. The cyborg improves the capabilities of the human being and upgrades him. In this paper we will see how cybernetic organs are designed and how they are implanted in the human body to interface with the remote machine.

Brief on cyborg:

The cyborg is a chip which is connected to the nerve fibers of the nervous system. The chip consists of a transmitting and receiving unit and processing system and battery source is provided. The cyber orgs can be connected to different parts of the body for enhancing the capabilities. To control the human brain cyborg are connected to central nervous system and they can also be augmented to the nervous system.

By implanting a cyborg in the human body it amplifies human thought and vision and communication. The first cyber organism chip was implanted in the hand of the professor by using the chip he can control the doors and systems and windows without lifting his hand. A person’s capabilities are extended by using machine technology.

Applications and disadvantages:

This can be very helpful for the movement of the organs of a paralyzed person. By implanting a cyborg chip in a human body we can control the devices as the chip is interfaces with the machine. There are chances for the chip to be hacked and the control of the person goes to the others who can misuse. A cyborg person cannot take decisions on his own he has to rely on the machine.

 Download  Technical Seminar on Cyborg Technology .