PPT-Apriori Algorithm in Social Networks

Author Jovan Zoric 32122014 Email jovan229gmailcom zj143212mstudentetfrs 116 Introduction This presentation gives some interesting ideas about how we use data mining in social networks. Definitions and concepts . How do they networks relate to health?. Case studies . Session outcomes . To outline the nature of social and community networks . To define the concepts of social support and social capital . Give an example of a problem that might benefit from feature creation . Compute the Silhouette of the following clustering that consists of 2 clusters: {(0,0), (0,1), (2,2)}. {(3,2), (3,3)}. . 1. Compare . AGNES /Hierarchical clustering with K-means; what are the main . differences?. 2 Compute the Silhouette of the following clustering that consists of 2 clusters: {(0,0), (0,1), (2,2)}. APRIORI ALGORITHM FOR MINING FREQUENT ITEMSETS Moving On from . Homelessness. Discussion:. Due to the heterogeneous sample, the variety of responses obtained showed there is . no . common . form . of social networks for all homeless people. . However, some common themes emerged. . Apriori( . DB. , . minsup. ):. C. = {all 1-itemsets}. . // candidates = singletons. while. ( |. C. | > 0 ):. make pass over . DB. , find counts of . C. . F. = sets in . C. . with count .  . Definitions and concepts . How do they networks relate to health?. Case studies . Session outcomes . To outline the nature of social and community networks . To define the concepts of social support and social capital . Arvind Narayanan and Vitaly Shmatikov. The University of Texas at Austin. Presenter: Humam Nameer. Problem Facts:. - All of us here are . Target. in this domain. It directly effects us!!. - Events, location, occasions, pictures, video and even intentions are at public display. (SIGIR2010). IBM Research Lab. Ido. . Guy,Naama. . Zwerdling. Inbal. . Ronen,David. . Carmel,Erel. . Uziel. Social Networks and Discovery(. SaND. ). Direct entity-entity relations. Recommendation Algorithm. Anthony Bonato. Ryerson University. 1. st. Symposium on Spatial Networks. Oxford University. 1. Friendship networks. network of on- and off-line friends form a large web of interconnected links. 2. Geometry of Social Networks. Kumar . Saminathan. Frequent Word Combinations Mining . and Indexing on . HBase. Introduction. Many projects on . HBase. . create indexes on multiple data. We are able to find the frequency of a single word easily . Steven Procopio, Ph.D.. PAR Policy Director. PAR is an independent voice, offering solutions to critical public issues in Louisiana through accurate, objective research and focusing public attention on those solutions.. Navigation and Propagation in Networks Michael Goodrich Some slides adapted from slides by Jean Vaucher , Panayiotis Tsaparas , Jure Leskovec , and Christos Faloutsos NE MA Review: Milgram’s experiment : A Candidate Generation & Test Approach. Apriori. pruning principle. : If there is any . itemset. which is infrequent, its superset should not be generated/tested! (. Agrawal. & . Srikant.