SIT384 Cyber security analytics Distinction Task 8.3D: DBSCAN and its parameters Task description: DBSCAN is a density based algorithm – it assumes clusters for dense regions. It doesn’t require that every point be assigned to a cluster and hence doesn’t partition the data, but instead extracts the ‘dense’ clusters and leaves sparse background classified as […]
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A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction Yao Qin1∗, Dongjin Song2, Haifeng Chen2, Wei Cheng2, Guofei Jiang2, Garrison W. Cottrell1 1University of California, San Diego 2NEC Laboratories America, Inc. {yaq007, gary}@eng.ucsd.edu, {dsong, Haifeng, weicheng, gfj}@nec-labs.com Abstract The Nonlinear autoregressive exogenous (NARX) model, which predicts the current value of a time series based
entropy Article An Adaptive Weight Method for Image Retrieval Based Multi-Feature Fusion Xiaojun Lu ID , Jiaojuan Wang, Xiang Li, Mei Yang and Xiangde Zhang * College of Sciences, Northeastern University, Shenyang 110819, China; luxiaojun@mail.neu.edu.cn (X.L.); 17640044931@163.com (J.W.); lxiang_1226@163.com (X.L.); yyangm1104@163.com (M.Y.) * Correspondence:zhangxiangde@mail.neu.edu.cn;Tel.:+86-24-8368-7680 Received: 23 June 2018; Accepted: 31 July 2018; Published: 6 August
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COSC 1285/2123 Algorithms and Analysis Semester 1, 2019 Assignment 2: Path Finding Due date: 11:59pm Friday 31st May 2019 Weight: 15% Pair (Group of 2) Assignment 1 Ob jectives There are three key objectives for this assignment: • Consider real problems and how algorithms can be used to solve them. • Study path finding and
comp2123 Assignment 10 s1 2019 This assignment is due on May 28. All submitted work must be done individually without consulting someone else¡¯s solutions in accordance with the University¡¯s ¡°Academic Dishonesty and Plagiarism¡± policies. Problem 1. Imagine we are given n axis aligned boxes on the plane such that the lower edge of every box
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SIT384 Cyber security analytics Distinction Task 8.3D: DBSCAN and its parameters Task description: DBSCAN is a density based algorithm – it assumes clusters for dense regions. It doesn’t require that every point be assigned to a cluster and hence doesn’t partition the data, but instead extracts the ‘dense’ clusters and leaves sparse background classified as
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SIT384 Cyber security analytics Credit Task 8.2C: DGA domain name clustering Task description: According to Wikipedia, Domain generation algorithms (DGA) are algorithms seen in various families of malware that are used to periodically generate a large number of domain names that can be used as rendezvous points with their command and control servers. The large
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SIT384 Cyber security analytics Credit Task 8.2C: DGA domain name clustering Task description: According to Wikipedia, Domain generation algorithms (DGA) are algorithms seen in various families of malware that are used to periodically generate a large number of domain names that can be used as rendezvous points with their command and control servers. The large
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ISYS 1117 Software Engineering Fundamentals Assignment 2019 Semester 1 Objective This SEF group assignment is assessed over 10 weeks through progress meetings (10 marks), two milestones (10 marks) and a final face-to-face marking session (30 marks). This assignment requires you to analyse the requirements of various stakeholders and resolve any conflicts with the tutor acting
TCSS 342 Data Structures Assignment 4 Compressed Literature 2 Guidelines This assignment consists of programming and written work. Solutions should be a complete working Java program including your original work or cited contributions from other sources. These files should be compressed in a .zip file for submission through the Canvas link. This assignment