introduction to data mining.
Data mining the practice of examining large pre-existing databases in order to generate new information.
samrat tayade,TE IT - ARMIET COLLEGE.
As a part of my CRM course we had the opportunity to work on the various functions of how CRM enables organizations. The aspect that we focused on was the Data collection, storage and access that CRM enables.
A podium abstract presented at AMIA 2016 Joint Summits on Translational Science. This discusses Data Café — A Platform For Creating Biomedical Data Lakes.
As a part of my CRM course we had the opportunity to work on the various functions of how CRM enables organizations. The aspect that we focused on was the Data collection, storage and access that CRM enables.
A podium abstract presented at AMIA 2016 Joint Summits on Translational Science. This discusses Data Café — A Platform For Creating Biomedical Data Lakes.
Data is produced at a phenomenal rate
Our ability to store has grown
Users expect more sophisticated information
How?
Objective: Fit data to a model
Potential Result: Higher-level meta information that may not be obvious when looking at raw data
Similar terms
Exploratory data analysis
Data driven discovery
Deductive learning
Data Warehousing is a topic on Management of Information Technology that would help students on their subject matter and as reference for their assigned report.
Data is produced at a phenomenal rate
Our ability to store has grown
Users expect more sophisticated information
How?
Objective: Fit data to a model
Potential Result: Higher-level meta information that may not be obvious when looking at raw data
Similar terms
Exploratory data analysis
Data driven discovery
Deductive learning
Data Warehousing is a topic on Management of Information Technology that would help students on their subject matter and as reference for their assigned report.
Types of database processing,OLTP VS Data Warehouses(OLAP), Subject-oriented
Integrated
Time-variant
Non-volatile,
Functionalities of Data Warehouse,Roll-Up(Consolidation),
Drill-down,
Slicing,
Dicing,
Pivot,
KDD Process,Application of Data Mining
OLAP performs multidimensional analysis of business data and provides the capability for complex calculations, trend analysis, and sophisticated data modeling.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
3. Knowledge of databases
• Database : A database is an organized collection of data, generally
stored and accessed electronically from a computer system.
Where databases are more complex they are often developed
using formal design and modeling techniques.
• Database Management System (DBMS) – add, remove, update
records – retrieve data that match certain criteria – cross-reference
data in different tables – perform complex aggregate calculation •
Database consists of columns (attributes) and rows (records).
4. Data warehousing
Data warehousing is the process of
constructing and using a data
warehouse. A data warehouse is
constructed by integrating data from
multiple heterogeneous sources that
support analytical reporting,
structured and/or ad hoc queries, and
decision making. Data warehousing
involves data cleaning, data
integration, and data consolidations.
5. OLAP
Online Analytical Processing Server (OLAP) is based on the
multidimensional data model. It allows managers, and analysts to get
an insight of the information through fast, consistent, and interactive
access to information.
TYPES OF OLAP :
1. Relational OLAP (ROLAP)
2. Multidimensional OLAP (MOLAP)
3. Hybrid OLAP (HOLAP)
4. Specialized SQL Servers
6. Content
• What is data mining
• Kind to be mined
• Technologies used
• Major issues in data
mining
7. What is data mining
• The practice of examining large pre-existing databases in order to generate new
information.
• Data Mining is defined as extracting information from huge sets of data. In other
words, we can say that data mining is the procedure of mining knowledge from
data.
• The information or knowledge extracted so can be used for any of the following
applications −
1. Market Analysis
2. Fraud Detection
3. Customer Retention
4. Production Control
5. Science Exploration
8. Kind to be mined
• Kind of knowledge to be mined
• It refers to the kind of functions to be performed.
• These functions are −
I. Characterization
II. Discrimination
III. Association and Correlation Analysis
IV. Classification
V. Prediction
VI. Clustering
VII. Outlier Analysis
VIII.Evolution Analysis
9. Kind of data mined
1.Flat Files
2.Relational Databases
3.DataWarehouse
4.Transactional Databases
5.Multimedia Databases
6.Spatial Databases
7.Time Series Databases
8.World Wide Web(WWW)
