PPT-Graph Classification

Classification Outline Introduction Overview Classification using Graphs Graph classification Direct Product Kernel Predictive Toxicology example dataset Vertex classification Laplacian. Sedative hypnotics depress or slow down the bodys functions These drugs are commonly referred to as tranquilizers sleeping pills or sedatives They were originally developed to treat medical conditions such as epileptic seizures as well as to treat a Android Malware Classification . Using Weighted . Contextual API Dependency . Graphs. Mu Zhang. Yue. . Duan. Heng. Yin. Zhiruo. Zhao. Department . of Electrical Engineering and . Computer Science. Contents. Overview of IDS/IPS. Components of an IDS/IPS. IDS/IPS classification. By scope of protection. By detection model. 2. /37. Intrusion. A set of actions aimed at compromising the security goals (confidentiality, integrity, availability of a computing/networking resource). 2013 international conference on computing , networking and communications, communications and information security symposium. Author : . Saeed. . Nari. , Ali A. . Ghorbani. . /17. 1. Speaker : Wen Lin Yu . Contents. Overview of IDS/IPS. Components of an IDS/IPS. IDS/IPS classification. By scope of protection. By detection model. 2. /37. Intrusion. A set of actions aimed at compromising the security goals (confidentiality, integrity, availability of a computing/networking resource). Hao Wei. 1. , . Jeffrey Xu Yu. 1. , Can L. u. 1. , . Xuemin. Lin. 2. . 1 . The . Chinese University of Hong Kong, Hong Kong. 2 . The . University of New South Wales. , . Sydney, Australia. Graph in Big Data . Learning Objectives. Importance of Classification. Philosophical underpinnings of two approaches to classification. Purposes of Classification. Symbols and Language. Words are symbols. By convention we all agree on symbols. Learning Objectives. Importance of Classification. Philosophical underpinnings of two approaches to classification. Purposes of Classification. Symbols and Language. Words are symbols. By convention we all agree on symbols. Cedric Cochin 1 TBD. Intel Security - McAfee Labs. TBD, 2015. Who’s this guy. ?! . Hi, I. ’m @. cedric. h. asn’t changed…. Agenda – SESSION 1. Topics. Web as a threat delivery mechanism. Anatomy of the modern user agent. Introduction, Overview. Classification using Graphs. Graph classification – Direct Product Kernel. Predictive Toxicology example dataset. Vertex classification – . Laplacian. Kernel. WEBKB example dataset. Distance matrices are graphs .  as useful as any other clustering. Identification of communities in social networks. Webpage clustering for better data management of web data. Outline. Min s-t cut problem. Adjacency List. Adjacency-Matrix. Pointers/memory for each node (actually a form of adjacency list). Adjacency List. List of pointers for each vertex. Undirected Adjacency List. Adjacency List. The sum of the lengths of the adjacency lists is 2|E| in an undirected graph, and |E| in a directed graph.. Please sit down if you:. Are taller than 5’9”. Have blonde Hair . Have brown Eyes. Are left-Handed. Why Classify?. To study the diversity of life, biologists use a . classification . system to name organisms and group them in a logical manner. Sagar. . Samtani. and . Hsinchun. Chen. Artificial Intelligence Lab, The University of Arizona. 1. Outline. Introduction and Background. Autoencoder. : Intuition and Formulation. Autoencoder. Variations: .