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Dear students get fully solved assignments
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International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Applying Classification Technique using DID3 Algorithm to improve Decision Su...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
On multi dimensional cubes of census data: designing and queryingJaspreet Issaj
The primary focus of this research is to design a data warehouse that specifically targets OLAP storage, analyzing and querying requirements to the multidimensional cubes of census data with an efficient and timely manner.
International Refereed Journal of Engineering and Science (IRJES) irjes
International Refereed Journal of Engineering and Science (IRJES)
Ad hoc & sensor networks, Adaptive applications, Aeronautical Engineering, Aerospace Engineering
Agricultural Engineering, AI and Image Recognition, Allied engineering materials, Applied mechanics,
Architecture & Planning, Artificial intelligence, Audio Engineering, Automation and Mobile Robots
Automotive Engineering….
Performance Analysis of Selected Classifiers in User Profilingijdmtaiir
User profiles can serve as indicators of personal
preferences which can be effectively used while providing
personalized services. Building user files which can capture
accurate information of individuals has been a daunting task.
Several attempts have been made by researchers to extract
information from different data sources to build user profiles
on different application domains. Towards this end, in this
paper we employ different classification algorithmsto create
accurate user profiles based on information gathered from
demographic data. The aim of this work is to analyze the
performance of five most effective classification methods,
namely Bayesian Network(BN), Naïve Bayesian(NB), Naives
Bayes Updateable(NBU), J48, and Decision Table(DT). Our
simulation results show that, in general, the J48has the highest
classification accuracy performance with the lowest error rate.
On the other hand, it is found that Naïve Bayesian and Naives
Bayes Updateable classifiers have the lowest time requirement
to build the classification model
The following topics are discussed in this presentation
Data and Information
Database
Database Management System
Objectives
Advantages
Components
Architecture
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Applying Classification Technique using DID3 Algorithm to improve Decision Su...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
On multi dimensional cubes of census data: designing and queryingJaspreet Issaj
The primary focus of this research is to design a data warehouse that specifically targets OLAP storage, analyzing and querying requirements to the multidimensional cubes of census data with an efficient and timely manner.
International Refereed Journal of Engineering and Science (IRJES) irjes
International Refereed Journal of Engineering and Science (IRJES)
Ad hoc & sensor networks, Adaptive applications, Aeronautical Engineering, Aerospace Engineering
Agricultural Engineering, AI and Image Recognition, Allied engineering materials, Applied mechanics,
Architecture & Planning, Artificial intelligence, Audio Engineering, Automation and Mobile Robots
Automotive Engineering….
Performance Analysis of Selected Classifiers in User Profilingijdmtaiir
User profiles can serve as indicators of personal
preferences which can be effectively used while providing
personalized services. Building user files which can capture
accurate information of individuals has been a daunting task.
Several attempts have been made by researchers to extract
information from different data sources to build user profiles
on different application domains. Towards this end, in this
paper we employ different classification algorithmsto create
accurate user profiles based on information gathered from
demographic data. The aim of this work is to analyze the
performance of five most effective classification methods,
namely Bayesian Network(BN), Naïve Bayesian(NB), Naives
Bayes Updateable(NBU), J48, and Decision Table(DT). Our
simulation results show that, in general, the J48has the highest
classification accuracy performance with the lowest error rate.
On the other hand, it is found that Naïve Bayesian and Naives
Bayes Updateable classifiers have the lowest time requirement
to build the classification model
The following topics are discussed in this presentation
Data and Information
Database
Database Management System
Objectives
Advantages
Components
Architecture
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
or
call us at : 08263069601
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
or
call us at : 08263069601
Journal of Physics Conference SeriesPAPER • OPEN ACCESS.docxLaticiaGrissomzz
Journal of Physics: Conference Series
PAPER • OPEN ACCESS
The methodology of database design in
organization management systems
To cite this article: I L Chudinov et al 2017 J. Phys.: Conf. Ser. 803 012030
View the article online for updates and enhancements.
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The methodology of database design in organization
management systems
I L Chudinov, V V Osipova, Y V Bobrova
Tomsk Polytechnic University, 30, Lenina ave., Tomsk, 634050, Russia
E-mail: [email protected]
Abstract. The paper describes the unified methodology of database design for management
information systems. Designing the conceptual information model for the domain area is the
most important and labor-intensive stage in database design. Basing on the proposed integrated
approach to design, the conceptual information model, the main principles of developing the
relation databases are provided and user’s information needs are considered. According to the
methodology, the process of designing the conceptual information model includes three basic
stages, which are defined in detail. Finally, the article describes the process of performing the
results of analyzing user’s information needs and the rationale for use of classifiers.
1. Introduction
Management information systems are among the most important components of information
technologies (IT), used in a company. They are usually classified by the functions into the following
systems: Manufacturing Execution Systems (MES), Human Resource Management (HRM), Enterprise
Content Management (ECM), Customer Relationship Management (CRM), etc. [1]. Such systems are
used a special structured database and are required for reengineering of the whole enterprise
management system, while the integration makes it difficult to use them. These systems are expensive
enough and particularly devel.
1. Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
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ASSIGNMENT
DRIVE Winter
PROGRAM
SUBJECT CODE & NAME
SEMESTER
BK ID
CREDITS
MARKS
2013
MBADS – (SEM 3/SEM 5) / MBAN2 / MBAFLEX – (SEM 3) /
PGDISMN – (SEM 1)
MI0034- DATABASE MANAGEMENT SYSTEMS
3
B1217
4
60
Note: Answer all questions. Kindly note that answers for 10 marks questions should be
approximately of 400 words. Each question is followed by evaluation scheme.
Q.1 How is DBMS classified based on several criteria? Explain each one of them with few examples
where ever required
Ans : Several criteria are normally used to classify DBMSs. These are discussed below :
1. Based on data model
2. Based on the number of users
3. Based on the ways database is distributed
1. Based on data model:
The most popular data model in use today is the relational data model. Well known DBMSs like
Oracle, MS SQL Server, DB2, MySQL support this model. Other traditional models can be named
hierarchical data model, or network data model. In the recent years, we are getting familiar with
object-oriented data models but these models have not had widespread use. Some examples of
Object-oriented DBMSs are O2, Object Store
Q.2 Differentiate between B+ tree and B- tree. Explain them with diagrams
Ans
:
B+
tree
:
2. A B+ tree is a balanced tree in which every path from the root of the tree to a leaf is of the same
length, and each non leaf node of the tree has between [n/2] and [n] children, where n is fixed for a
particular tree. It contains index pages and data pages. The capacity of a leaf has to be 50% or more.
For example: if n = 4, then the key for each node is between 2 to 4. The index page will be 4 + 1 = 5.
B+-tree Structure. A B+-tree is a generalization of a binary search tree (BST). The main difference is
that nodes of a B+ tree will point to many children nodes rather than being limited to only two. Since
the goal is to minimize disk accesses whenever
Q.3
Employee
Emp Id
Name
Project
Salary
Dep. no.
MUL 1
Ramya
PR 1
40000
1
MUL 2
Nupur
PR 1
45000
2
SMU 1
Rajesh
PR 3
20000
2
SMU 2
Vinay
PR 2
50000
3
SMU 3
Anil
PR 2
80000
2
Dept id
D name
Place
1
MIS
Bangalore
2
HRM
Bangalore
3
Finance
Chennai
4
Department :
Research
Bangalore
Using these tables answer the following question
a. If we want to see all the employees with salary between 40000 and 50000, which query can be
used?
b. Select employee name from EMPLOYEE table, whose name starts with R
c. Explain aggregate functions and grouping in detail
Ans : A select query retrieves data from one or more of the tables in your database, or other queries
there, and displays the results in a datasheet. You can also use a select query to group data, and to
calculate sums, averages, counts, and other types of totals. Query languages are computer
languages used to make queries into databases and information systems.
Broadly, query languages can be classified
c. Explaining aggregate functions on select statement, with an example
Aggregate functions are used to compute against a "returned column of numeric data" from your
SELECT statement. They basically summarize the results of a particular column of selected data. We
are covering these here since they are required by the next topic, "GROUP BY". Although they are
required for the "GROUP BY" clause, these functions can be used without the "GROUP BY" clause.
For example:
3. Q.4 What are the problems and failures that may encounter with respect to the transactions in a
database management system? Give examples.
Ans : A transaction is a logical unit of work, which involves may database operations. A transaction
is a collection of operations that forms a single logical unit of work. A transaction is a unit of program
executions that accesses and possibly updates various databases. Example: Banking system, Student
database performs transactions.
Problems with code :
1. SQL0805N Package package-name was not found
Q.5 Consider any database of your choice (may be simple banking database/forecasting
database/project management database). Show the deduction of the tables in your database to
the different types of normal forms
Ans : Choosing a proper database :
The databases chosen is simple forecasting database.
5 normal forms with respect to the database chosen
Q.6 Read the following case study thoroughly and answer the following questions:
Laxmi bank is one of the largest private sector banks of India. It has an extensive network of more
than 200 branches. It offers banking services to retail as well as corporate clients. The bank faced a
challenge in integrating multi-pronged database management system into a centralized system.
The IT department of the bank also realized that the computing capabilities of its PCs and servers
were not proportionately distributed among all its branches. Each branch had its database
management system stored in a traditional way on the disk. The total cost of operating and
maintaining the current IT infrastructure was very high and the fundamental shortcomings added
to the costs. Moreover, there were also recurrent problems due to the malfunctioning of the
currently operational database management system. Therefore, the bank’s top management
decided to fix the problem and operationalise a robust database management system. The bank
hired an external database technology consulting firm called AKPY Info systems Limited. AKPY
divided the entire IT infrastructure of the bank around two verticals. The retail banking vertical
and the corporate banking vertical. All the individual database servers from the individual
branches were removed. The entire database system was made virtual such that the managers
and the staff can access only the required information (related to retail banking or corporate
banking) from the respective centralised data centers. There were only two such centralised data
centers (one for retail banking and another for corporate banking) that were managed centrally.
Staff and managers could access the information through their PCs and laptops. Centralised
database management system complemented the security system by bringing in authentication
through a unified ID management server. Managers and officers of the bank were able to process
half a million transactions per month in real time after the new implementation. There were
significant savings in the cost and also in the consumption of power. Now there were no problems
with regard to imbalances in the load across various network servers. Due to centralised data
management, top management could keep an eye on the functioning of various branches. Hence
4. the cases of fraud and cheating reduced considerably. The bank managers could also process the
loan applications in reduced time since the customer’s previous records could be accessed at the
click of the button and approval from the higher authorities could be obtained in real time.
Moreover the new system also brought in many applications that helped local managers in the
decision making process.
a. List the uses of centralized data management
b. What steps Laxmi bank need to take if it were to change its centralised database system to a
distributed database system in future?
Ans : a. uses of centralized data management :
From the above case study it is concluded that centralized data management has following
advantages which has made it more useful than the older system :
1. Centralised database management system complements the security system by bringing in
authentication through a unified ID management server
2 If data is stored and managed in various locations, as the volume of data increases, time and
effort, as well as necessary devices to manage all the data must be increased accordingly. If data is
gathered at one location and centrally managed,
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