PPT-Dealing with Diversity in Mining and Query Processing

Jeffrey Xu Yu 于旭 Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong yusecuhkeduhk Books on Social Networks Social and Economic Networks. Dr. Bjarne Berg . 3. What We’ll Cover …. . Introduction. Performance Issues & Tips. MultiProviders and Partitioning. Aggregates. Query Design & Caching. Hardware & Servers. Designing for Performance. Query-Based . Subnetwork Outliers in Heterogeneous . Information Networks. Honglei. Zhuang. 1. , Jing Zhang. 2. , George Brova. 1. , . Jie. Tang. 2. , Hasan Cam. 3. , . Xifeng. Yan. 4. , . Jiawei. Davide Mottin, University of Trento. Francesco . Bonchi. , Yahoo Labs - Francesco . Gullo. , Yahoo Labs. Issues. with Pattern . S. earch. O. OH. O. S. Query. 510 . matches. T. oo. . many. . matches. PRESENTATION BY .  . THE SECRETARY FOR MINES AND MINING DEVELOPMENT .  . PROF. F. P. GUDYANGA.  . 7. th. ZIMBABWE MINING & INFRASTRUCTURE INDABA. . 2015. CONTENTS. INTRODUCTION. MINERALS AND MATERIALS. IDOL Under . the . Hood. Techniques and algorithms. #. SeizeTheData. Read the presenter notes before presenting.. Most of the content of this presentation is contained therein.. IDOL knowledge flow. Acquisition. SpatialHadoop. Type: Research Paper (Experimental evaluation). Authors: Ahmed . Eldawy. , . Louai. . Alarabi. , Mohamed F. . Mokbel. Presented by: Siddhant Kulkarni. Term: Fall 2015. Motivation. John . Sirmon. Senior Escalation Engineer – Microsoft Corporation. Microsoft CSS at PASS 2009. Session Objectives And Takeaways. Processing issues . When good cubes go bad. Troubleshooting processing simplified . of Massive Trajectory Data based on MapReduce. Qiang. Ma, Bin Yang (. Fudan. University). Weining. . Qian. , . Aoying. Zhou (ECNU). Presented By: . Xin. Cao (Aalborg University). Outline. Introduction . Deliverable #2. Jonggun Park . Haotian. He. Maria . Antoniak. Ron Lockwood. System architecture. Two modules:. Indexing. Querying . query processing. p. assage retrieval. answer processing/ranking. CSE 8330. Conventional Query Processing. Statistics generation. Query optimization. Query execution. Unreliable cardinality . e. stimates. Complex queries. Changes in the runtime environment. Query interactivity. Yifei Lu. 1. ,. Wei Wang. 1. ,. . Jianxin. Li. 2. . and. . Chengfei. Liu. 2. 1 . University of New South . Wales. 2 . Swinburne University of Technology. XML Keyword Search. 2. Query: . jiawi. . Learning Objectives. Describe basic information about copper, its occurrence, and its . use. Articulate the history and current status of copper mining in . Arizona . and tribal lands. Detail the . stages . Learning Objectives. Describe basic information about copper, its occurrence, and its . use. Articulate the history and current status of copper mining in . Arizona . and tribal lands. Detail the . stages . Query Processing. Document-at-a-time. Calculates complete scores for documents by processing all term lists, one document at a time. Term-at-a-time. Accumulates scores for documents by processing term lists one at a time.