PPT-QUERY

Junta Zeniarja MKom MCS Query adalah fasilitas tool box dari ArcView yang akan memberikan kemudahan bagi user untuk mencari fiturfitur atau data tertentu yang terdapat pada file ArcView sesuai dengan atribut data yang terdapat pada file tersebut. Auto-Completion. Authors:Naama. . Kraus and . Ziv. . Bar-. Yossef. Date of . publication:November. 2010. speaker:Rishu. Gupta. 1. digital camera reviews. d. igital camera buying guide. d. igital camera with . Alexander . Kotov. (UIUC). . Pranam. . Kolari. , Yi . Chang (Yahoo!). Lei . Duan. (Microsoft). Motivation. Improvements in ranking can be achieved in two ways:. Better features/methods for promoting high-quality result pages. Murali. Mani, . Mohamad. . Alawa. , . Arunlal. . Kalyanasundaram. University of Michigan, Flint. Presented at IDEAS 2011.. Provenance Metadata. Data about origins of data. Applications:. Check whether data item is valid – in health records. Outlier Detection. Ayushi Dalmia. *. , Manish Gupta. *+. , Vasudeva Varma. *. 1. IIIT Hyderabad, India* Microsoft, India. +. Introduction. A. B. B. B. B. A. B. B. B. A. C. C. C. X. 1. Paraschos. . Koutris. Prasang. . Upadhyaya. Magdalena . Balazinska. Bill Howe. Dan . Suciu. University of Washington. PODS 2012. Motivation. Data is increasingly . sold. and . bought. on the web. Gu Xu. Microsoft Research Asia. Mismatching Problem. Mismatching is Fundamental Problem in Search. Examples:. NY ↔ New York, game cheats ↔ game . cheatcodes. Search Engine Challenges. Head or frequent queries. A . Deep Dive into Spatial Indexing. Michael Rys. Principal Program Manager. Microsoft Corporation. @. SQLServerMike. DBI405. Q: Why is my Query . so. Slow?. A: . Usually . because the index isn’t being used.. Matt Masson. Tessa Palmer. DBI-B410. Agenda. Overview of Power . Query. Why you would use the Power Query Formula Language (“M. ”). Introduction to the . Language. Types, values, and . functions. Query Formulation. Ling573. NLP Systems and Applications. April 14, 2011. Roadmap. Motivation:. Retrieval gaps. Query F. ormulation:. Question Series. Query reformulation:. AskMSR. patterns. MULDER parse-based formulation. Query Optimization Process. (simplified a bit). Parse the SQL query into a logical tree:. identify distinct blocks (corresponding to nested sub-queries or views). . Query rewrite phase:. apply . algebraic transformations. Jianfeng Gao, MSR. (Joint work with . Jian. Huang, . Jiangbo. Miao, Xiaolong Li, Kuansan Wang and Fritz Behr). Outline. N-gram language model (LM) ABC. N-gram LM at Microsoft. Bing-It-On-. Ngram. Building Web scale N-gram LM. Ruirui. Li, Ben Kao, Bin Bi, . Reynold. Cheng, Eric Lo. Speaker:. . Ruirui. Li. 1. The University of Hong Kong. Outline. Motivation. Problem Statement. DQR Model. Experiments & Evaluation. 2. Jun Ho Huh. Research Scientist. Cybersecurity Lab. . Saurabh Verma, . Ali Hamieh, Jun Huh Ho, Siva Raj Rajagopalan, Maciej Korczynski, Nina Fefferman.. . 1. Motivation . money talks!. . 2. It’s becoming very serious!. 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 .