PPT-A Spreadsheet Program for Use in the Detection of Anomalous

Helene Z Hill Rutgers NJ Medical School Newark NJ And Joel Pitt Renaissance Associates Princeton NJ Radiation Research Society Annual Meeting September 2014 Scientific Misconduct Falsification Fabrication Plagiarism. Levine Center for Intelligent Machines McGill University Montreal QC Canada javancimmcgillca levinecimmcgillca Abstract We present a novel approach for video parsing and si multaneous online learning of dominant and anomalous behaviors in surveillan Introduction and Use Cases. Derick . Winkworth. , Ed Henry and David Meyer. Agenda. Introduction and a Bit of History. So What Are Anomalies?. Anomaly Detection Schemes. Use Cases. Current Events. Q&A. Siddharth Gupta. 1. , Casey Hanson. 2. , Carl A Gunter. 3. , Mario Frank. 4. , David Liebovitz. 4. , Bradley . Malin. 6. 1,2,3,4. Department of Computer Science, . 3,5. Department of Medicine, . 6. Department of Biomedical Informatics. & Simplicity. Chapter S1: Introduction to Spreadsheet Design. S2: Simplicity. All . Sections. Security. Today’s Topic. Information Quality. IS Basics. E-commerce. Access. Excel. PowerPoint. Types of IS. Ke Wang, Gabriela Cretu, Salvatore Stolfo. Computer Science, Columbia University. Mike Kopps. CS591. Agenda. The Problem. Existing Solutions. Solution. Methodology. Collaboration. Evaluation. Even . More Problems. Problem motivation. Machine Learning. Anomaly detection example. Aircraft engine features:. . = heat generated. = vibration intensity. …. (vibration). (heat). Dataset:. New engine:. Density estimation. Basics. Objective 4.01. What is a . Spreadsheet. ?. A . spreadsheet (or worksheet). is an arrangement of . cells. in . columns . and. rows . used to organize, analyze, calculate, and report information, usually in numerical form. . By Catherine George. Introduction. In this PowerPoint I will be analysing the good and bad points about 2 different spreadsheets.. I will be specifically looking at the purpose, what the data shows, what data they have, features of the spreadsheet (formulae), features that would improve productivity, accuracy and usability. I will also give strengths and weaknesses of each spreadsheets and the improvements that could be made to improve these weaknesses. . ICT 2. Learning target. Student will identify the parts of a spreadsheet.. vocabulary. Cell Reference – location of a cell. Row – labeled with numbers. Formula Bar – allows users to enter a formula. Basics. What is a . Spreadsheet. ?. A . spreadsheet (or worksheet). is an arrangement of . cells. in . columns . and. rows . used to organize, analyze, calculate, and report information, usually in numerical form. . ICT 2. Learning target. Student will identify the parts of a spreadsheet.. vocabulary. Cell Reference – location of a cell. Row – labeled with numbers. Formula Bar – allows users to enter a formula. 1. Spreadsheet Operations. —. . increase. . . . . . . . the. . efficiency of data . entry. t. he . performing of calculations. , and . the . presentation of information. .. 2. Types of Spreadsheet Operatio. “Anomaly Detection: A Tutorial”. Arindam. . Banerjee. , . Varun. . Chandola. , . Vipin. Kumar, Jaideep . Srivastava. , . University of Minnesota. Aleksandar. . Lazarevic. , . United Technology Research Center. By. Harshith Reddy . Sarabudla. Anomaly detection approaches. Command-centric – focus on attack syntax. Mostly capture attack queries that have similar columns but process or display different row contents from those of normal queries.