DATA WAREHOUSE AND DATA MINING (DWDM) IMPORTANT QUESTIONS #DATA WAREHOUSE #DATA MINING #DWDM #IMPORTANT #QUESTIONS #EXAMS
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#Lastmomenttuitions #lmt The the Bundle Pack Course ( DWM , PDS , HMI ) : https://bit.ly/2V7vll3 Take DWM full course : https://bit.ly/2PRCqoP Data warehouse and data mining Notes : https://lastmomenttuitions.com/notes/ Take the Full course : Other subject Course Analysis of Algoeithm : https://bit.ly/2L1HaJu COA lecture:https ://bit.ly/2DxZsfc Computer Graphics :https://bit.ly/2W56dg1 Operating system :https://bit.ly/2UWo6RG Comiler :https://bit.ly/2IVFsqu Distributed System :https://bit.ly/2vlummT Computer Networks :https://bit.ly/2W67za8 Machine Learning :https://bit.ly/2GHhq0X Discrete Mathematics :https://bit.ly/2UG5m3D DBMS Lectures :https://bit.ly/2VltsW3 Mobile Computing and Communication :https://bit.ly/2UREId8 DLDA Lecture :https://bit.ly/2XIbbQ2 Software Engineering :https://bit.ly/2J0L4j8 Placement Interview Series:http://tiny.cc/1kb55y Aptitude Lectures :https://bit.ly/2UUxup0 Python tutorial for Beginners :https://bit.ly/2UVuUPt SQL placement Series for Beginners :https://bit.ly/2XFN2c Motivation Student Life Series : http://tiny.cc/b8b55y
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#kmean datawarehouse #datamining #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://lastmomenttuitions.com/course/data-warehouse/ Buy the Notes https://lastmomenttuitions.com/course/data-warehouse-and-data-mining-notes/ if you have any query email us at [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
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DATA COMMUNICATION AND COMPUTER NETWORKS || QUESTION PAPER || May 2017
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understanding how the input flows to the output in back propagation neural network with the calculation of values in the network. the example is taken from below link refer this https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/ for full example
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FUNDAMENTALS OF DATABASE MANAGEMENT || QUESTION PAPER || DECEMBER 2017
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This live session will cover Data Mining & Data Warehousing + 10 PYQs - GATE & UGC NET CS. Subscribe GATE NoteBook For Class Notifications : https://www.youtube.com/channel/UC2UzX55u-PvWN_F_g_1DlTw?view_as=subscriber For FREE Notes , Join Facebook Group : https://www.facebook.com/groups/2057576547626004/
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TY BSc(IT) - Sem 6 - Data Warehouse previous years papers with solution from 2014-2016 Unitwise we are going to discuss all three papers... You can download notes from the link given below:- https://drive.google.com/open?id=0B_0qcYrYEFTBYW5wOFp2YWlRX0k Other material by me on other subjects on this link:- https://drive.google.com/open?id=0B_0qcYrYEFTBWjVtbS0ydjJ1REU
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This video contains Short answer questions on DATA-WAREHOUSING AND DATA MINING
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DATA MINING SHORT ANSWER QUESTIONS
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Question paper ,https://m.facebook.com/profile.php?id=100014299112522&refid=46&sld=eyJzZWFyY2hfc2lkIjoiYWE0NDYxNzQyZTAzN2Q0OGE3M2JhOGI3ZGI4ZmI2OTIiLCJxdWVyeSI6InN1bmlsIHNhaHUiLCJzZWFyY2hfdHlwZSI6IlNlYXJjaCIsInNlcXVlbmNlX2lkIjoxODYxMTY1OTQ1LCJwYWdlX251bWJlciI6MSwiZmlsdGVyX3R5cGUiOiJTZWFyY2giLCJlbnRfaWQiOjEwMDAxNDI5OTExMjUyMiwicG9zaXRpb24iOjAsInJlc3VsdF90eXBlIjoyMDQ4fQ%3D%3D&fref=search ,Mining engineering question paper 2017 ,question paper, paper 2017, latest question paper ,question paper 2017, mining Engineering ,Polytechnic, poly question paper 1st semester, Polytechnic College question paper, 2017 Polytechnic question ,Technolog
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In this video, I go over the 3 steps you need to prepare a dataset to be fed into a machine learning model. (selecting the data, processing it, and transforming it). The example I use is preparing a dataset of brain scans to classify whether or not someone is meditating. The challenge for this video is here: https://github.com/llSourcell/prepare_dataset_challenge Carl's winning code: https://github.com/av80r/coaster_racer_coding_challenge Rohan's runner-up code: https://github.com/rhnvrm/universe-coaster-racer-challenge Come join other Wizards in our Slack channel: http://wizards.herokuapp.com/ Dataset sources I talked about: https://github.com/caesar0301/awesome-public-datasets https://www.kaggle.com/datasets http://reddit.com/r/datasets More learning resources: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-data-science-prepare-data http://machinelearningmastery.com/how-to-prepare-data-for-machine-learning/ https://www.youtube.com/watch?v=kSslGdST2Ms http://freecontent.manning.com/real-world-machine-learning-pre-processing-data-for-modeling/ http://docs.aws.amazon.com/machine-learning/latest/dg/step-1-download-edit-and-upload-data.html http://paginas.fe.up.pt/~ec/files_1112/week_03_Data_Preparation.pdf Please subscribe! And like. And comment. That's what keeps me going. And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
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This video contains important MCQs with explanation for IBPS/SBI IT officer mains exam . In this video data mining and data-ware house questions are covered.
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#datawarehouse #datamining #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://lastmomenttuitions.com/course/data-warehouse/ Buy the Notes https://lastmomenttuitions.com/course/data-warehouse-and-data-mining-notes/ if you have any query email us at [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 332036 Last moment tuitions
Data Warehouse Previous Year paper solution from 2014-2016 - questions which we discussed in this video :- 1. What are operational databases? Explain the basic characteristics of a data warehouse.(2015) 2. State and justify the characteristics of a Data Warehouse with suitable examples. (2016) 3. What is data warehouse? List and explain the characteristics of data warehouse.(2014) 4. Differentiate OLTP and OLAP (2016) (2015). You can download notes from the link given below:- https://drive.google.com/open?id=0B_0qcYrYEFTBYW5wOFp2YWlRX0k Other material by me on other subjects on this link :- https://drive.google.com/open?id=0B_0qcYrYEFTBWjVtbS0ydjJ1REU
Views: 1195 Tirup Parmar
#dwm #DM #Lastmomenttuitions #lmt Take the full course of DWM : https://bit.ly/2PRCqoP DWM youtube playlist : https://bit.ly/2UHQYbu DWM notes : https://bit.ly/2VMgO3f Other subject Course Analysis of Algoeithm : https://bit.ly/2L1HaJu COA lecture:https ://bit.ly/2DxZsfc Computer Graphics :https://bit.ly/2W56dg1 Operating system :https://bit.ly/2UWo6RG Comiler :https://bit.ly/2IVFsqu Distributed System :https://bit.ly/2vlummT Computer Networks :https://bit.ly/2W67za8 Machine Learning :https://bit.ly/2GHhq0X Discrete Mathematics :https://bit.ly/2UG5m3D DBMS Lectures :https://bit.ly/2VltsW3 Mobile Computing and Communication :https://bit.ly/2UREId8 DLDA Lecture :https://bit.ly/2XIbbQ2 Software Engineering :https://bit.ly/2J0L4j8 Placement Interview Series:http://tiny.cc/1kb55y Aptitude Lectures :https://bit.ly/2UUxup0 Python tutorial for Beginners :https://bit.ly/2UVuUPt SQL placement Series for Beginners :https://bit.ly/2XFN2c Motivation Student Life Series : http://tiny.cc/b8b55y
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In this video you can learn some of the important basic viva questions of Data ware house and Data Mining Lab..
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What is IFS Exam? The Indian Forest Service (IFS) is one of the Civil Services Examination conducted by Union Public Service Commission for the recruitment officers at the All India level by the Government of India for the scientific management of its forests. Educational Qualification: Candidate should hold a Bachelor’s degree with at least one of the subjects namely, Animal Husbandry & Veterinary Science, Botany, Chemistry, Geology, Mathematics, Physics, Statistics and Zoology or a Bachelor’s degree in Agriculture or Forestry or Engineering of a recognised university or equivalent. Candidates appearing at their degree examination (with prescribed subjects) can also compete. If they qualify on the result of the written part of the examination, they will have to submit the proof of passing the required examination alongwith their detailed application form to be filled in at that stage. FOR MOE UPDATES SUBSCRIBE US
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In this video, we have discussed basics of data mining for the purpose of the UGC NET/JRF CS exam preparations. Subscribe Us For More Updates.
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15 Hot Trending Data Mining Research Topics 2018 1. Medical Data Mining 2. Education Data Mining 3. Data Mining with Cloud Computing 4. Efficiency of Data Mining Algorithms 5. Signal Processing 6. Social Media Analytics 7. Data Mining in Medical Science 8. Government Domain 9. Financial Data Analysis 10. Financial Accounting Fraud Detection 11. Customer Analysis 12. Financial Growth Analysis using Data Mining 13. Data Mining and IOT 14. Data Mining for Counter-Terrorism Key Research Application Fields: • Crisp-DM • Oracle Data mining • Web Mining • Open NN • Data Warehousing • Text Mining WHY YOU NEED TO OUTSOURCE TO PhD Assistance: a) Unlimited revisions b) 24/7 Admin Support c) Plagiarism Generate d) Best Possible Turnaround time e) Access to High qualified technical coordinators and expertise f) Support: Skype, Live Chat, Phone, Email Contact us: India: +91 8754446690 UK: +44-1143520021 Email: [email protected] Visit Webpage: https://goo.gl/HwJgqQ Visit Website: http://www.phdassistance.com
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https://www.bankersadda.com/p/sbi-clerk-exam-analysis.html The SBI Clerk 2018 Prelims Exam has started on 23rd June 2018, At Bankers Adda, we are providing SBI Clerk 2018 Prelims Exam Analysis of all shifts. SBI Clerk 2018 Prelims Exam will be held till 30th June 2018. The difficulty level of the exam is expected to remain the same in all the shifts. Here is the analysis of all the shifts to get you acquainted with the pattern of SBI Clerk Prelims Examination 2018. To Know More about SBI PO 2018 exam, pattern, syllabus & exam date, visit: http://www.bankersadda.com/p/sbi-po.html To Know More about IBPS PO 2018 exam, pattern, syllabus & exam date, visit: http://www.bankersadda.com/p/ibps-po.html To Know More about Ssc cgl exam pattern syllabus and exam date visit http://www.sscadda.com/p/ssc-cgl.html Aspirants, Adda247 is Now In Telegram, Join Our Telegram Group [email protected] https://t.me/adda247youtube For All the Updates and Notifications. Hurry!! Join Now Official Telegram Channel of Bankersadda - https://t.me/bankersadda_Official Join Now Official Telegram Channel of SSC Adda - https://t.me/sscadda_official PLAYLIST FOR BANK AND SSC EXAMS - https://www.youtube.com/channel/UC1L2JoMpcY6MRLhFd3gg5Xg/playlists Adda247 Youtube channel is India's most popular channel for Online Coaching for IBPS Bank PO Exams and Online Coaching for SSC CGL. 1.To buy Banking & SSC Latest Pattern Video Courses of Adda247 - at Online Streaming, SD Card or Tablet click here - https://store.adda247.com/#!/videos/list To Buy Adda247 Test Series Click Here - https://store.adda247.com/#!/testseries/list To Buy Adda247 Books Click Here -https://store.adda247.com/#!/books/list 2. Download Adda247 App (India's No.1 App for Bank & SSC Exams) - http://bit.ly/adda247 3. To get all latest videos in your mailbox, subscribe to our youtube channel - https://www.youtube.com/adda247live 4. Get all updates on facebook, like us our facebook page - https://www.facebook.com/adda247live 5. Join us at twitter - https://twitter.com/adda247live
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International Journal of Data Mining & Knowledge Management Process ( IJDKP ) http://airccse.org/journal/ijdkp/ijdkp.html ISSN : 2230 - 9608[Online] ; 2231 - 007X [Print] Call for Papers Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data. This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the workshop by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. Data Mining Foundations Parallel and Distributed Data Mining Algorithms, Data Streams Mining, Graph Mining, Spatial Data Mining, Text video, Multimedia Data Mining, Web Mining,Pre-Processing Techniques, Visualization, Security and Information Hiding in Data Mining Data Mining Applications Databases, Bioinformatics, Biometrics, Image Analysis, Financial Mmodeling, Forecasting, Classification, Clustering, Social Networks, Educational Data Mining Knowledge Processing Data and Knowledge Representation, Knowledge Discovery Framework and Process, Including Pre- and Post-Processing, Integration of Data Warehousing, OLAP and Data Mining, Integrating Constraints and Knowledge in the KDD Process , Exploring Data Analysis, Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge, Statistical Techniques for Generation a Robust, Consistent Data Model, Interactive Data Exploration Visualization and Discovery, Languages and Interfaces for Data Mining, Mining Trends, Opportunities and Risks, Mining from Low-Quality Information Sources Paper submission Authors are invited to submit papers for this journal through e-mail [email protected] . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
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Tamil Nadu TRB Computer Science Instructor GRADE1 Exam Syllabus Business Computing - Data Mining ------ Data Mining • It's the process to find patterns or relationship of Data using algorithms. • It's a process of analysing data from different perspectives and summarising it into useful information. • It gives answer which Data Base cannot give Data • Raw fact Eg: • Petrol price is Rs.75 per litter on 1st April • Petrol price is Rs.76.25 PL on 2nd April This data (price and date) stored in DB Information • We can get some information from Data Eg: • Price of the petrol is between Rs70 to Rs80 per litter in April Knowledge • From the useful Data and useful Information we can get some knowledge Eg: • When Petrol price is increasing by Rs5, the inflation rating is increased by 2% Data Mining: Extract the useful Decision / Answer from the Data Data • You can trust this Data, which is always correct based on current status that is stored in DB Information • The information gathered from Data is dynamic, which is getting changed based on Data • May be different for different time / place / person • Information is collected from Data. Data Mining Process / Life cycle 1. Data • Raw data from DB 2. Target Data • Split the necessary data • Selection of Data 3. Pre-processed Data • To remove unnecessary data • Deduct missing data 4. Transformed Data • Save the data in different form which can be mined • Normalized the data 5. Mining the Data • Extract the decisions by Patterns / Templates • By mathematical rules and algorithms • Also called machine-learning algorithms 6. Knowledge • Interpret the patterns to knowledge by user • From the Mined data template / pattern we can get the knowledge Extracting the knowledge from the Data is Data Mining EG of Machine-Learning algorithms • Classification learning • Numeric estimation • Association learning • and more Classification learning • Classify the characteristics of Objects/Entities • EG: A consumer will buy a new car in next year = Yes / No • Train the Machine using training data from the data what we have (Transformed data and Patterns) Appling the decision tree, showroom member can predict the new customer ability.
** NLP Using Python: - https://www.edureka.co/python-natural-language-processing-course ** This Edureka video will provide you with a comprehensive and detailed knowledge of Natural Language Processing, popularly known as NLP. You will also learn about the different steps involved in processing the human language like Tokenization, Stemming, Lemmatization and much more along with a demo on each one of the topics. The following topics covered in this video : 1. The Evolution of Human Language 2. What is Text Mining? 3. What is Natural Language Processing? 4. Applications of NLP 5. NLP Components and Demo Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV --------------------------------------------------------------------------------------------------------- Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Instagram: https://www.instagram.com/edureka_learning/ --------------------------------------------------------------------------------------------------------- - - - - - - - - - - - - - - How it Works? 1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each. 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Natural Language Processing using Python Training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. It has been packed up with a lot of real-life examples, where you can apply the learnt content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics and Machine Learning have been discussed. This course is for anyone who works with data and text– with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in python programming language to enhance your learning experience. -------------------------- Who Should go for this course ? Edureka’s NLP Training is a good fit for the below professionals: From a college student having exposure to programming to a technical architect/lead in an organisation Developers aspiring to be a ‘Data Scientist' Analytics Managers who are leading a team of analysts Business Analysts who want to understand Text Mining Techniques 'Python' professionals who want to design automatic predictive models on text data "This is apt for everyone” --------------------------------- Why Learn Natural Language Processing or NLP? Natural Language Processing (or Text Analytics/Text Mining) applies analytic tools to learn from collections of text data, like social media, books, newspapers, emails, etc. The goal can be considered to be similar to humans learning by reading such material. However, using automated algorithms we can learn from massive amounts of text, very much more than a human can. It is bringing a new revolution by giving rise to chatbots and virtual assistants to help one system address queries of millions of users. NLP is a branch of artificial intelligence that has many important implications on the ways that computers and humans interact. Human language, developed over thousands and thousands of years, has become a nuanced form of communication that carries a wealth of information that often transcends the words alone. NLP will become an important technology in bridging the gap between human communication and digital data. --------------------------------- For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
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Mining engineer: job description Mining engineers assess the feasibility, safety and productivity of mine locations and plan, manage and optimise the extraction of surface and underground deposits. What does a mining engineer do? Typical employers | Qualifications and training | Key skills Mining engineers ensure that underground resources such as minerals, metals, oil and gas are extracted safely and efficiently. Typical job responsibilities include: assessing the feasibility and the potential for commercial benefit of new sites ascertaining extraction risks producing models or plans for possible mining sites planning and implementing extraction systems using specialist computer applications to maximise planning and production monitoring and evaluating underground performance managing construction projects ensuring that operations comply with health and safety requirements making sure that the equipment used is safe managing budgets training and supervising staff liaising with and advising managerial and technical staff analysing data keeping records costing and organising supplies. Typical employers of mining engineers Mining companies Quarrying companies Extraction companies Environmental consultancies Large construction and manufacturing companies Mining consultancies Mining engineering is an international profession, with many jobs based overseas. Jobs are advertised online, by careers services, specialist recruitment agencies and in publications such as TARGETjobs Engineering, Mining Journal and InfoMine, plus their respective websites. Speculative applications made early during the first term of your final year are essential. The Directory of Mines and Quarries may prove useful for contact information. You can also find tips for finding and applying for jobs with smaller engineering companies here. Qualifications and training required To become a mining engineer, you will need a degree in a relevant subject such as mining engineering, civil engineering or geology. Some employers will ask for a 2.1 degree but others will accept candidates with a 2.2 degree. Take a look at our list ofengineering employers that accept 2.2 degrees A postgraduate qualification can be beneficial and may be necessary for some posts. A list of accredited courses is available on the Engineering Council’s website and you can read our article on engineering postgraduate options to explore your options. Relevant experience gained via placements or by working in junior positions is extremely beneficial. Take a look at our list ofengineering employers who offer industrial placements and summer internships. Most mining engineering degree courses offer periods of practical mining experience – these can provide a useful source of contacts for employment following the completion of academic studies. Different countries have varying requirements for entry into the profession in terms of experience and academic qualifications, so it is important to research the requirements and gain a qualification that will be accepted. Achieving chartered (CEng) status with the Engineering Council can help to demonstrate your professionalism and commitment to your field. To become chartered, you will need an accredited bachelors degree with honours in engineering or technology, plus an appropriate masters degree (MEng) or doctorate (EngD) accredited by a professional engineering institution such as the Institute of Materials, Minerals and Mining (IOM3). You will also be eligible with an integrated MSc. To find out more, take a look at our guide to chartership. Key skills for mining engineers Confidence Problem-solving and analytical skills Organisation and efficiency Independence Strong technical skills Teamworking skills Managerial and interpersonal skills IT skills.
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Data mining important questions are present in this vdo
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This Video contains the basics of data warehouse and data mining, useful for IBPS SO IT officer Professional Knowledge
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click on : https://www.youtube.com/c/ComputerScienceAcademyByDineshSir this is my URL to see all videos. This lecture will support to crack the exam and will score highest marks in exam. What is E-commerce and define its concept?What are the features of E-commerce?What is E-business and how it works ?What is E-business models and define its different types ( B2B, B2C, C2C, C2B)?What is Ethical issues and why it is important ?What is Legal environment of e-commerce?What is Electronic data interchange (EDI) and its Features ?What is EFT (Electronic Funds Transfer) ?Compare e-commerce and e-business.What is SM (Supply Chain Management) and its working flow?What SCM is important in Business. efine the advantage & disadvantage of e-commerce. UNIT-2 What is Electronic Payment Systems and how it works? Define E-money . Define Credit cards, debit cards, smart cards, e-Wallet. What is Marketing and define Marketing on the web ? Define the significance of marketing on web. Define the concept of Advertisement on the web. What are the Marketing strategies and how it supports to grow business ? What is M-commerce(Mobile Commerce). What is CSC(customer service center / customer service point)? What is significance of customer service center? Case study on e commerce in passenger air transport. Write case study on : e-commerce in passenger air transport UNIT-3 what is E-governance and its issue? What is E-Government ? What are the issues in e-governance applications? Define evolution of e-governance. Define value chain management. What are the benefits of e-governance? What is E-governance models and its different types : broadcasting, critical flow, comparative analysis, mobilization and lobbying, interactive services / G2C2G)? UNIT-4 What is E-readiness and e-government readiness ? Define E- Framework step and its issues. What are issues in e-readiness? Define warehousing and data mining in e-government. Write Case studies on: NICNET-role of nation wide networking in E-governance and E-seva. UNIT-5 What are the Challenges in E-Government systems ? What are the Security issues in E-Government systems ? What are the Security concern in E-commerce ? Define security for Client and Server computers. What is communication channel security ? this is my URL to see all videos. click on this link: https://www.youtube.com/c/ComputerScienceAcademyByDineshSir
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GATE PREVIOUS YEAR QUESTIONS PAPER WITH COMPLETE SOLUTIONS (MINING ENGINEERING)
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Important Note : You need not to provide the Distance Calculation in Exam paper. I show that for better understanding. Just calculate the whole things in calculator and Put Your result on the Chart. Thanks Use Headphone. https://drive.google.com/file/d/1Ihu8IIT8kTI41i4p9XhvJkjOL7VXcvQx/view Slide link #DataMining
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Data Warehouse Previous Year paper solution from 2014-2016 - questions which we discussed in this video:- 5. Discuss the different types of facts with respect to measures stored in the fact table in a Data Warehouse.(2016) 6. Explain the various types of additivity of facts with examples. (2014)(2015) 7. Explain star schema model with the help of a diagram. (2015) 8. Why is a dimension called Slowly changing dimension? (2016) You can download notes from the link given below:- https://drive.google.com/open?id=0B_0qcYrYEFTBYW5wOFp2YWlRX0k Other material by me on other subjects on this link:- https://drive.google.com/open?id=0B_0qcYrYEFTBWjVtbS0ydjJ1REU
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Big Data Analytics important Questions # Andhra University # JNTU K https://creative-madhav.blogspot.com/
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