• Title/Summary/Keyword: 리프

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Refining Rules of Decision Tree Using Extended Data Expression (확장형 데이터 표현을 이용하는 이진트리의 룰 개선)

  • Jeon, Hae Sook;Lee, Won Don
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.6
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    • pp.1283-1293
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    • 2014
  • In ubiquitous environment, data are changing rapidly and new data is coming as times passes. And sometimes all of the past data will be lost if there is not sufficient space in memory. Therefore, there is a need to make rules and combine it with new data not to lose all the past data or to deal with large amounts of data. In making decision trees and extracting rules, the weight of each of rules is generally determined by the total number of the class at leaf. The computational problem of finding a minimum finite state acceptor compatible with given data is NP-hard. We assume that rules extracted are not correct and may have the loss of some information. Because of this precondition. this paper presents a new approach for refining rules. It controls their weight of rules of previous knowledge or data. In solving rule refinement, this paper tries to make a variety of rules with pruning method with majority and minority properties, control weight of each of rules and observe the change of performances. In this paper, the decision tree classifier with extended data expression having static weight is used for this proposed study. Experiments show that performances conducted with a new policy of refining rules may get better.

SQR-Tree : A Hybrid Index Structure for Efficient Spatial Query Processing (SQR-Tree : 효율적인 공간 질의 처리를 위한 하이브리드 인덱스 구조)

  • Kang, Hong-Koo;Shin, In-Su;Kim, Joung-Joon;Han, Ki-Joon
    • Spatial Information Research
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    • v.19 no.2
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    • pp.47-56
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    • 2011
  • Typical tree-based spatial index structures are divided into a data-partitioning index structure such as R-Tree and a space-partitioning index structure such as KD-Tree. In recent years, researches on hybrid index structures combining advantages of these index structures have been performed extensively. However, because the split boundary extension of the node to which a new spatial object is inserted may extend split boundaries of other neighbor nodes in existing researches, overlaps between nodes are increased and the query processing cost is raised. In this paper, we propose a hybrid index structure, called SQR-Tree that can support efficient processing of spatial queries to solve these problems. SQR-Tree is a combination of SQ-Tree(Spatial Quad- Tree) which is an extended Quad-Tree to process non-size spatial objects and R-Tree which actually stores spatial objects associated with each leaf node of SQ-Tree. Because each SQR-Tree node has an MBR containing sub-nodes, the split boundary of a node will be extended independently and overlaps between nodes can be reduced. In addition, a spatial object is inserted into R-Tree in each split data space and SQ-Tree is used to identify each split data space. Since only R-Trees of SQR-Tree in the query area are accessed to process a spatial query, query processing cost can be reduced. Finally, we proved superiority of SQR-Tree through experiments.

Disaster Overall Prevention System for Beach Erosion and its Applications (해안침식 관리시스템과 그 적용)

  • Kim, Kyu-Han;Yoo, Hyung-Seok;Joung, Eui-Jin
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.20 no.6
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    • pp.602-610
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    • 2008
  • A beach has such functions as disaster prevention, providing an amenity place, attracting people and maintaining the coastal ecosystem. Already well known that a beach provides an amenity place, it has also been ascertained through various examples that a sand beach performs a very important function to maintain the coastal ecosystem as well. However, Beach erosion began to occur in Korea in the 1990's and posed a social problem in the late 1990's. Nowadays, along the shorelines of Korea's many beaches, about 400 beaches have reported erosion. This study demonstrate the Disaster Overall Prevention System for Beach Erosion and it's application. The Disaster Overall Prevention System for Beach Erosion is a coastal management system established for managing the implementation of long-term countermeasures to protect eroded beaches effectively in this study. Especially, the economic feasibility test and adaptive management for sustainable mitigation included in DOPS. The coastal prevention work applied to Namae beach is carried out by Disaster Overall Prevention System. Consequently, beach nourishment is proposed as a main countermeasure. Also, submerged artificial reefs and groin integrating artificial rock are proposed as secondary countermeasures for beach erosion. This resulted to be the optimal beach erosion countermeasure from DOPS, considering the economic and environmental conditions of the study area.

Longest First Binary Search on Prefix Length for IP Address Lookup (최장 길이 우선 검색에 기초한 프리픽스 길이에 따른 이진 IP 검색 구조)

  • Chu Ha-Neul;Lim Hye-Sook
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.8B
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    • pp.691-700
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    • 2006
  • Based on the destination IP address of incoming packets, the Internet routers determine next hops and forward packets toward final destinations through If address lookup. The bandwidth of communication links increases exponentially fast as well as the routing table size grows significant as the number of single host networks attached to the Internet increases. Since packets should be processed at wire-speed, the increased link speed reduces the processing time of a packet in routers, and hence more efficient and fast IP address lookup algorithms and architectures are required in the next generation routers. Most of the previous IP lookup schemes compare routing prefixes of shorter length first with a given input IP address. Since IP address lookup needs to find the most specific route of the given input, search continues until the longest matched prefix is found while it keeps remembering the current test matching prefix. In this paper, based on binary search on prefix length, we proposed a new IP address lookup algorithm which compares longer prefixes first. The proposed scheme is consisted of multiple tries with prefixes on leaves only. The trie composed of the longest prefixes is primarily searched whether there is a match with the given input. This processing is repeated for the trio of the next longer prefixes until there finds a match. Hence the proposed algorithm provides the fast search speed. The proposed algorithm also provides the incremental update of prefixes while the previous binary search on length scheme does not provide the incremental update because of pre-processing requirement. In this paper, we performed extensive simulations and showed the performance comparisons with related works.