CO526 Databases Course Work 1: SQL Due in noon Friday 16th February 2018 The tables below gives details of a family history database. In the person table, people are identified by their name, and always have their gender, date of birth (dob) and place of birth (born in) recorded. In addition, each person may optionally …
Due: April 1, 2019, 11:59PM Total Points: 9 points Learning Objectives CS44800 Project 3 Relational Operators Spring 2019 1. Understand how Relational Algebra operators are implemented inside of a database system 2. Understand algorithms for executing different Relational Algebra operators Background When executing an SQL query, a DBMS transforms the query into an equivalent Relational …
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COMP9313: Big Data Management Revisit MyExperience v “Please participate in the myExperience Survey and take the opportunity to share your constructive thoughts on your learning experience. Your contributions help your teachers and shape the future of education at UNSW.” v You can access the survey by logging into Moodle or accessing myexperience.unsw.edu.au directly. v The …
MSML 650: Cloud Computing Fall 2023 Project Ideas 1. Compare and contrast no-SQL databases In this project, you will study and use/test different no-SQL databases: • DynamoDB (https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Introduction. html) • MongoDB (https://docs.mongodb.com/) • Cassandra (http://cassandra.apache.org/doc/latest/) Use the above docs (and possibly other sources, books or online) to learn about the above no- SQL database solutions, …
Part 1: The Machine Learning and Spark part Question 1: Supervised Learning (4 marks) You are going to train an SVM classifier on the ‘adult’ dataset from Penn Machine learning Benchmarks: https://epistasislab.github.io/pmlb/profile/adult.html data description https://github.com/EpistasisLab/pmlb/tree/master/datasets/adult the data (if you don’t know how to open a gzip file, download 7 zip for windows, or find whatever …
Introduction to Computer Security – G6077 Weighting: 50% of marks for the module Version Information: Version 1, Oct 2023 Submission deadline: Check deadline on Sussex direct. e-submission to Canvas You must work on this assignment on your own. The standard Informatics rules for collusion, plagiarism and lateness apply. Any cases of potential misconduct discovered will …
184514 Computer Security 21/22 Page|1 G6077 COMPUTER SECURITY – REPORT Application URL Sussex: http://users.sussex.ac.uk/~bcc28/G6077/LovejoyAntiques/index.html Code: Zip file Location: https://universityofsussex- my.sharepoint.com/:f:/g/personal/bcc28_sussex_ac_uk/EkTiNIBsFLVLtWCDUrYG1oUBCOTRG__4YAvKJVRgM Oaodw?e=PrQZb Task 1 – User Registration…………………………………………………………………………………………………………………….3 Registration form code …………………………………………………………………………………………………………………….3 Code when registration form submitted …………………………………………………………………………………………….4 Annotation Descriptions ……………………………………………………………………………………………………………….4 Annotation Descriptions ……………………………………………………………………………………………………………….5 Accounts Database Table ………………………………………………………………………………………………………………….5 Why This Is Secure …………………………………………………………………………………………………………………………..6 Password Policy……………………………………………………………………………………………………………………………6 Vulnerabilities ……………………………………………………………………………………………………………………………..6 …
COMP3311 23T3 Assignment 1 Queries and Functions on BeerDB Last updated: Sunday 8th October 7:41am Most recent changes are shown in red … older changes are shown in brown. [Assignment Spec] [Database Design] [Examples] [Testing] Database Systems This assignment aims to give you practice in reading and understanding a small relational schema (BeerDB) implementing SQL …
COMP3311 23T3 Assignment 2 Python, PostgreSQL, MyMyUNSW Last updated: Saturday 11th November 12:09pm Most recent changes are shown in red … older changes are shown in brown. [Specification] [Database] [SQL Schema] [Grades+Rules] [Examples] [Testing] [Submitting] [Fixes+Updates] Database Systems This assignment aims to give you practice in reading, understanding and querying a moderately large relational schema …
Frequent item set mining in E- commerce transaction logs Background: Frequent item set mining is a fundamental task in data mining. It involves identifying sets of items (or elements) that frequently occur together in a given dataset. This technique is widely used in various applications, including market basket analysis, recommendation systems, bioinformatics, and network analysis. …