'Irregular data' diaporamas de présentation

Oblivious Querying of Data with Irregular Structure

Oblivious Querying of Data with Irregular Structure. Based on Several Works. Queries with Incomplete Answers Yaron Kanza, Werner Nutt, Shuky Sagiv Flexible Queries Yaron Kanza, Shuky Sagiv SQL4X Sara Cohen, Yaron Kanza, Shuky Sagiv Computing Full Disjunctions Yaron Kanza, Shuky Sagiv.

1.23k views • 111 slides

Oblivious Querying of Data with Irregular Structure

Yaron Kanza The Rachel and Selim Benin School of Engineering and Computer Science The Hebrew University of Jerusalem. Oblivious Querying of Data with Irregular Structure. Joint Work With. Queries with Incomplete Answers Werner Nutt, Shuky Sagiv Flexible Queries Shuky Sagiv SQL4X

1.21k views • 111 slides

Which Model Should Be Appropriate to Describe the Dynamics of Trading Duration in Chinese Stock Market?

Which Model Should Be Appropriate to Describe the Dynamics of Trading Duration in Chinese Stock Market?. Wanbo Lu luwb@swufe.edu.cn School of Statistics, Southwestern University of Finance and Economics, 55 Guanghua Village Road, Chengdu, 610074, China. Outline. 1. Introduction

621 views • 37 slides

Ubiquitous Memory Introspection (UMI)

Ubiquitous Memory Introspection (UMI). Qin Zhao, NUS Rodric Rabbah, IBM Saman Amarasinghe, MIT Larry Rudolph, MIT Weng-Fai Wong, NUS. CGO 2007, March 14 2007 San Jose, CA. The complexity crunch. hardware complexity ? + software complexity ? ? too many things happening concurrently,

401 views • 32 slides

Accessing Data from Ocean Observatories

Accessing Data from Ocean Observatories. Why Everything Will Keep Changing John Graybeal, MBARI. About Me. 19 years at NASA, 4 years at MBARI Led data team (3 yrs), data projects (4 yrs) Principal Investigator, Marine Metadata Interoperability (http://marinemetadata.org)

207 views • 12 slides

Motivation

74 views • 1 slides