가야대학교 분성도서관

상단 글로벌/추가 메뉴

회원 로그인


자료검색

자료검색

상세정보

부가기능

Algorithms for Analyzing Spatio-temporal Data

상세 프로파일

상세정보
자료유형E-Book
개인저자Nath, Abhinandan.
단체저자명Duke University. Computer Science.
서명/저자사항Algorithms for Analyzing Spatio-temporal Data.
발행사항[S.l.] : Duke University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항170 p.
소장본 주기School code: 0066.
ISBN9780438377257
일반주기 Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
Adviser: Pankaj K. Agarwal.
요약In today's age, huge data sets are becoming ubiquitous. In addition to their size, most of these data sets are often noisy, have outliers, and are incomplete. Hence, analyzing such data is challenging. We look at applying geometric techniques to
요약With the massive amounts of data available today, it is common to store and process data using multiple machines. Parallel programming frameworks such as MapReduce and its variants are becoming popular for handling such large data. We present th
요약We propose parallel algorithms in the MPC model for processing large terrain elevation data (represented as a 3D point cloud) that are too big to fit on one machine. In particular, we present a simple randomized algorithm to compute the Delaunay
요약We then look at comparing real-valued functions, by computing a distance function between their merge trees (a small-sized descriptor that succinctly captures the sublevel sets of a function). Merge trees are robust to noise in the data, and can
요약Finally we look at the problem of capturing shared portions between large number of input trajectories. We formulate it as a subtrajectory clustering problem - the clustering of subsequences of trajectories. We propose a new model for clustering
일반주제명Computer science.
언어영어
기본자료 저록Dissertation Abstracts International80-02B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14999630

소장정보

  • 소장정보

인쇄 인쇄

메세지가 없습니다
No. 등록번호 청구기호 소장처 도서상태 반납예정일 예약 서비스 매체정보
1 WE00025475 DP 004 가야대학교/전자책서버(컴퓨터서버)/ 대출불가(별치) 인쇄 이미지  

서평

  • 서평

태그

  • 태그

나의 태그

나의 태그 (0)

모든 이용자 태그

모든 이용자 태그 (0) 태그 목록형 보기 태그 구름형 보기
 

퀵메뉴

대출현황/연장
예약현황조회/취소
자료구입신청
상호대차
FAQ
교외접속
사서에게 물어보세요
메뉴추가
quickBottom

카피라이터

  • 개인정보보호방침
  • 이메일무단수집거부

김해캠퍼스 | 621-748 | 경남 김해시 삼계로 208 | TEL:055-330-1033 | FAX:055-330-1032
			Copyright 2012 by kaya university Bunsung library All rights reserved.