Big geodata aggregation: Connotation, classification, and framework

نویسندگان

چکیده

åœ°ç†å¤§æ•°æ®æ˜¯åœ°ç†å¯¹è±¡æ‰€äº§ç”Ÿçš„â€œè¶³è¿¹æ•°æ®â€ï¼Œè€Œåœ°ç†å¤§æ•°æ®æŒ–æŽ˜å°±æ˜¯é€šè¿‡åæ¼”åˆ†æžåœ°ç†å¯¹è±¡çš„â€œè¶³è¿¹æ•°æ®â€ï¼Œæ­ç¤ºå ¶ä¸­è•´å«çš„äººåœ°å ³ç³»åŠå ¶æ—¶ç©ºæ¨¡å¼ã€‚è¿‘å¹´å ³äºŽåœ°ç†å¤§æ•°æ®çš„é‡å¤§ç ”ç©¶è¿›å±•æ˜¾ç¤ºï¼Œå ¶ç ”ç©¶ç»“è®ºçš„å–å¾—å¤§å¤šéœ€è¦å€ŸåŠ©å¤šç§å¤§æ•°æ®çš„ä¿¡æ¯ç»¼åˆã€‚ä¸ºæ­¤ï¼Œæœ¬æ–‡æå‡ºç ”ç©¶åœ°ç†å¤§æ•°æ®èšåˆçš„å¿ è¦æ€§ï¼šä»£è¡¨æ–°çš„ç ”ç©¶èŒƒå¼ã€äº§ç”Ÿæ–°çš„ç ”ç©¶è§†è§’ã€æå‡ç ”ç©¶çš„å ¨é¢æ€§ï¼Œå¹¶å°†åœ°ç†å¤§æ•°æ®èšåˆå®šä¹‰ä¸ºï¼šä¸åŒåœ°ç†å¤§æ•°æ®ä¹‹é—´é€šè¿‡è½¬æ¢å½¢æˆé¢å‘ç ”ç©¶å¯¹è±¡çš„å¤šç»´æ•°æ®é›†åˆã€‚åœ¨é˜è¿°åœ°ç†å¤§æ•°æ®åˆ†ç±»å’Œç‰¹ç‚¹çš„åŸºç¡€ä¸Šï¼Œå°†åœ°ç†å¤§æ•°æ®èšåˆåˆ†ä¸ºï¼šæ—¶ç©ºèšåˆã€é¢å‘å¯¹è±¡èšåˆã€é¢å‘ä¸»é¢˜èšåˆä»¥åŠé¢å‘æ¨¡åž‹èšåˆå››ç§ç±»åž‹ã€‚åœ°ç†å¤§æ•°æ®èšåˆä½œä¸ºåœ°ç†å¤§æ•°æ®æŒ–æŽ˜çš„é‡è¦ç»„æˆéƒ¨åˆ†ï¼Œå ¶è¿‡ç¨‹å¤§è‡´å¯ä»¥åˆ†ä¸ºï¼šç¡®å®šå† æ ¸â€”ä¿¡æ¯æº¯æºâ€”åæ¼”æ±‡èš3ä¸ªæ­¥éª¤ï¼Œè€Œå ¶ä¸­çš„å ³é”®ç§‘å­¦é—®é¢˜åŒ æ‹¬ï¼šç»Ÿä¸€æ—¶ç©ºæ¡†æž¶å’ŒåŸºå‡†ã€ç»Ÿä¸€æ•°æ®è¡¨è¾¾ä¸Žå­˜å‚¨ã€åŒ¹é åŒä¸€è§‚æµ‹å¯¹è±¡çš„å¤šæ•°æ®æºã€ç»Ÿä¸€å¤šæºæ•°æ®çš„æ—¶ç©ºèŒƒå›´ã€è°ƒå’Œä¸åŒå¯¹è±¡ä¹‹é—´ä¸åŒçš„å˜åŒ–é€ŸçŽ‡ã€è§£å†³æ•°æ®å ±äº«ä¸Žéšç§ä¿æŠ¤ã€å¤§æ•°æ®ä¸Žå°æ•°æ®çš„èšåˆç­‰ã€‚åœ°ç†å¤§æ•°æ®èšåˆæ–¹æ³•ä¸ŽæŠ€æœ¯çš„å‘å±•ï¼Œå°†ä¼šæ‹“å±•åœ°æ–¹çš„æ„ŸçŸ¥ã€åœŸåœ°åŠŸèƒ½çš„è¯†åˆ«ã€å¯¹äººç¾¤çš„è§‚æµ‹ä¸Žç†è§£ã€åŠŸèƒ½ä¸ŽæµåŠ¨ä¹‹é—´å ³ç³»ã€åœ°è¡¨å¤æ‚å·¨ç³»ç»Ÿç­‰æ–°é¢†åŸŸçš„ç ”ç©¶ã€‚

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Framework for Visualizing Multivariate Geodata

In urban planning, sophisticated simulation models are key tools to estimate future population growth for measuring the impact of planning decisions on urban developments and the environment. Simulated population projections usually result in bulky, large-scale, multivariate geospatial data sets. Millions of records have to be processed, stored, and visualized to help planners explore and analy...

متن کامل

Decentralized Online Big Data Classification - a Bandit Framework

Distributed, online data mining systems have emerged as a result of applications requiring analysis of large amounts of correlated and high-dimensional data produced by multiple distributed data sources. We propose a distributed online data classification framework where data is gathered by distributed data sources and processed by a heterogeneous set of distributed learners which learn online,...

متن کامل

A COGNITIVE STYLE AND AGGREGATION OPERATOR MODEL: A LINGUISTIC APPROACH FOR CLASSIFICATION AND SELECTION OF THE AGGREGATION OPERATORS

Aggregation operators (AOs) have been studied by many schol- ars. As many AOs are proposed, there is still lacking approach to classify the categories of AO, and to select the appropriate AO within the AO candidates. In this research, each AO can be regarded as a cognitive style or individual dierence. A Cognitive Style and Aggregation Operator (CSAO) model is pro- posed to analyze the mapping ...

متن کامل

Connotation Analysis

Language ambiguity as produced by humans, is often unnoticed and as such, is most of the times involuntary. In an original context, a sentence might be very clear with respect to the producer's intentions, but if it contains some unnoticed ambiguities (obliterated by the context), when put in another context, might convey a very different meaning, sometimes funny, sometimes embarrassing.

متن کامل

Customer Behavior Mining Framework (CBMF) using clustering and classification techniques

The present study proposes a Customer Behavior Mining Framework on the basis of data mining techniques in a telecom company. This framework takes into account the customers’ behavior patterns and predicts the way they may act in the future. Firstly, clustering technique is used to implement portfolio analysis and previous customers are divided based on socio-demographic features using k</em...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of remote sensing

سال: 2021

ISSN: ['1007-4619', '2095-9494']

DOI: https://doi.org/10.11834/jrs.20210480