COMP20008 Semester One 2017 Exam The University of Melbourne Semester One 2017 Exam School: Computing and Information Systems Subject Number: COMP20008 Subject Title: Elements of Data Processing Exam Duration: 2 hours Reading Time: 15 minutes This paper has 11 pages Authorised Materials: No calculators may be used. Instructions to Invigilators: Supply students with standard script […]
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School of Computer Science Dr. Ying Zhou COMP5349: Cloud Computing Sem. 1/2020 Week 13: Paxos Algorithm Question 1: Paxos Concurrent Proposals and No Message Loss 28.05.2020 We use the same Paxos agents as in lecture 11: two proposers A and B, three acceptors X, Y and Z and a learner L. The message sequence between
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COMP20008 Elements of Data Processing Classification Semester 1, 2020 Contact: uwe.aickelin@unimelb.edu.au Where are we now? 2 Classification • Introduction to classification • Comparing Classification and Regression • Decision tree classification • Will make connections to entropy • k nearest neighbour classification 3 Classification vs Regression 4 Classification • Classification • Making predictions about the future,
COMP20008 Elements of Data Processing Clustering Semester 1, 2020 Contact: uwe.aickelin@unimelb.edu.au Where are we now? 2 Outline • Clustering algorithms • K-means • Visualisation of clustering tendency (VAT) • Hierarchical clustering 3 Data in higher dimensions • Difficult to visualise • How can we determine what the significant groups / segments / communities are? •
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COMP5349 – Cloud Computing Week 5: Spark Framework Dr. Ying Zhou School of Computer Science Last Week n Last week we cover MapReduce framework n MapReduce is the first kind of big data processing framework Many other frameworks are either built on top of it, or follow its design principle n MapReduce borrows many concepts
COMP20008 Elements of data processing Semester 1 2020 Lecture 6: Unstructured data – preprocessing Unstructured data – text • No structure • Tricky to organise • Lacks regularity and decomposable internal structure • How can we process and search for textual information? Patterns in text – scenario • Scenario: we have a large collection of
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COMP20008 Elements of Data Processing Semester 1 2020 Lecture 19: Public Data Release and Individual Anonymity Plan today • Public release of wrangled data – anonymity issues and pitfalls – How can it be maintained? The problem • The public is concerned that computer scientists can purportedly identify individuals hidden in anonymized data with “astonishing
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COMP5349 – Cloud Computing Week 11: Consistency in Cloud Storage and DB Services Dr. Ying Zhou School of Computer Science Outline n Consistency in Cloud Storage and DB Services Individual customized solutions n Paxos Algorithm COMP5349 “Cloud Computing” – 2020 (Y. Zhou ) 11-2 Cloud Storage and DB Services n Run on a large fleet
COMP5349 – Cloud Computing Week 8: Spark DataFrame and Execution Plan Dr. Ying Zhou School of Computer Science Week 7 n We covered basics of Spark execution The driver program, which is the main script that creates SparkContext, defining the data flow DAG, etc needs to run somewhere, inside spark cluster or on an external
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COMP20008 Elements of Data Processing Experimental Design Semester 1, 2020 Contact: uwe.aickelin@unimelb.edu.au Where are we now? 2 Supervised vs Unsupervised Learning 3 Experimental Design • Feature Selection • Dimensionality Reduction • Performance Evaluation • Real-world Example – Medical Datamining 4 Feature Selection 5 Feature selection for machine learning • A series of data wrangling steps