CS 6340 – Lab 7 – KLEE Lab 7: KLEE Symbolic Execution Engine Fall Semester 2022 Copyright By PowCoder代写 加微信 powcoder Due: 12 December, 8:00 a.m. Eastern Time Corresponding Lecture: Lesson 11 (Dynamic Symbolic Execution) The goal of this lab is to gain familiarity with a research based symbolic execution engine called KLEE. KLEE is […]
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Data Mining: Concepts and Techniques — Chapter 8 — Qiang (Chan) Ye Faculty of Computer Science Dalhousie University University Copyright By PowCoder代写 加微信 powcoder Chapter 8. Classification: Basic Concepts n Classification: Basic Concepts n Decision Tree Induction n Bayes Classification Methods n Rule-Based Classification n Model Evaluation and Selection n Summary Supervised vs. Unsupervised Learning
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COMP9313: Big Data Management Course web site: http://www.cse.unsw.edu.au/~cs9313/ Chapter 8.2: Hive Introduction to Hive What is Hive? ❖ A data warehouse system for Hadoop that ➢ facilitates easy data summarization ➢ supports ad-hoc queries (still batch though…) ➢ created by Facebook ❖ A mechanism to project structure onto this data and query the data using
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COMP9313: Big Data Management Course web site: http://www.cse.unsw.edu.au/~cs9313/ Chapter 6.1: Mining Data Streams Data Streams ❖ In many data mining situations, we do not know the entire data set in advance ❖ Stream Management is important when the input rate is controlled externally: ➢ Google queries ➢ Twitter or Facebook status updates ❖ We can
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COMP9313: Big Data Management Course web site: http://www.cse.unsw.edu.au/~cs9313/ : NoSQL and HBase Part 1: Introduction to NoSQL What does RDBMS provide? ❖ Relational model with schemas ❖ Powerful, flexible query language (SQL) ❖ Transactional semantics: ACID ❖ Rich ecosystem, lots of tool support (MySQL, PostgreSQL, etc.) What is NoSQL? ❖ The name stands for Not
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COMP9313: Big Data Management Course web site: http://www.cse.unsw.edu.au/~cs9313/ Chapter 4.1: Part 1: ntroduction Limitations of MapReduce ❖ MapReduce greatly simplified big data analysis on large, unreliable clusters. It is great at one-pass computation. ❖ But as soon as it got popular, users wanted more: ➢ More complex, multi-pass analytics (e.g. ML, graph) ➢ More interactive
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COMP9313: Big Data Management Course web site: http://www.cse.unsw.edu.au/~cs9313/ Chapter 1: Course Information and Introduction to Big Data Management Part 1: Course Information Course Info ❖ Lectures: 10:00 – 12:00 (Tuesday) and 14:00 – 16:00 (Thursday) ➢ Purely online (access through Moodle) ❖ Labs: Weeks 2-10 ❖ Consultation (Weeks 1-10): Questions regarding lectures, course materials, assignements,
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This exercise aims to get you to: • Install and configure HBase, and Manage data using HBase Shell • Install and configure Hive, and Manage data using Hive HBase Installation and Configuration 1. Download HBase 2.4.8 $ wget https://dlcdn.apache.org/hbase/2.4.8/hbase-2.4.8-bin.tar.gz Then unpack the package: $ tar xvf hbase-2.4.8-bin.tar.gz 2. Define environment variables for HBase We need
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COMP9313: Big Data Management Course web site: http://www.cse.unsw.edu.au/~cs9313/ Chapter 5.2: V Part 1: APIs A Brief Review of RDD ❖ The RDD is the most basic abstraction in Spark. There are three vital characteristics associated with an RDD: ➢ Dependencies (lineage) When necessary to reproduce results, Spark can recreate an RDD from the dependencies
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COMP9313: Big Data Management Course web site: http://www.cse.unsw.edu.au/~cs9313/ Chapter 9: Recommender Systems Recommendations Recommendations Products, web sites, blogs, news items, … Recommender Systems Recommender Systems ❖ Application areas ➢ Movie recommendation (Netflix) ➢ Related product recommendation (Amazon) ➢ Web page ranking (Google) ➢ Social recommendation (Facebook) Netflix Movie Recommendation Why using Recommender Systems? ❖ Value
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