Welcome to D
SIGMOD 2004
PODS 2004
SIGMOD RECOR
CIKM 2004
DASFAA 2004
DBPL 2003
DE-BULLETIN
DEBS 2004
DMKD 2004
DMSN 2004
DOLAP 2004
DPDJ 2004
EDBT 2004
ER 2003
GIS 2004
HDP 2004
HYPERTEXT 20
ICDE 2004
ICDT 2003
JCDL 2004
MDM
MIR 2004
MIS 2004
MMDB 2004
MOBIDE 2003
RIDE 2004
SBBD 2003
SIGIR FORUM
SIGIR 2004
SIGKDD EXPLO
SIGKDD 2004
SSDBM 2004
SSTD 2003
TIME 2004
TODS 2004
VLDB 2004
VLDB Journal
WEBDB 2004
WIDM 2004
XIME-P 2004
Footer

Keun Ho Ryu

Papers on DiSC'04


A Moving Point Indexing using Projection operation for LBS

Publications


Note: Links lead to the DBLP on the Web.

Keun Ho Ryu

Jeong Hee Hwang , Keun Ho Ryu: A New Sequential Mining Approach to XML Document Clustering*. APWeb 2005 : 266-276

Jeong Hee Chi , Sang Ho Kim , Keun Ho Ryu: Spatial Selectivity Estimation Using Compressed Histogram Information. APWeb 2005 : 489-494

Vu Thi Hong Nhan , Sang Ho Kim , Keun Ho Ryu: Representation and Manipulation of Geospatial Objects with Indeterminate Extents. APWeb 2005 : 495-500

Jeong Hee Hwang , Van Trang Nguyen , Keun Ho Ryu: A New Indexing Structure to Speed Up Processing XPath Queries. DASFAA 2005 : 900-906

Jeong Hee Hwang , Keun Ho Ryu: Clustering and Retrieval of XML Documents by Structure. ICCSA (2) 2005 : 925-935

Jeong Hee Hwang , Mi Sug Gu , Keun Ho Ryu: Context-Based Recommendation Service in Ubiquitous Commerce. ICCSA (2) 2005 : 966-976

Jeong Hee Chi , Sang Ho Kim , Keun Ho Ryu: A New Continuous Nearest Neighbor Technique for Query Processing on Mobile Environments. ICCSA (2) 2005 : 977-987

Eung-Jae Lee , Keun Ho Ryu: Design of Vehicle Information Management System for Effective Retrieving of Vehicle Location. ICCSA (2) 2005 : 998-1007

Sungbo Seo , Long Jin , Jun Wook Lee , Keun Ho Ryu: Similarity Pattern Discovery Using Calendar Concept Hierarchy in Time Series Data. APWeb 2004 : 565-571

Eung-Jae Lee , Keun Ho Ryu, Kwang Woo Nam : Indexing for Efficient Managing Current and Past Trajectory of Moving Object. APWeb 2004 : 782-787

Eung-Jae Lee , Young Jin Jung , Keun Ho Ryu: A Moving Point Indexing Using Projection Operation for Location Based Services. DASFAA 2004 : 775-786

Sung-Hee Park , Keun Ho Ryu: Effective Filtering for Structural Similarity Search in Protein 3D Structure Databases. DEXA 2004 : 761-770

Sung-Hee Park , Keun Ho Ryu: Fast Similarity Search for Protein 3D Structure Databases Using Spatial Topological Patterns. DEXA 2004 : 771-780

Jeong Hee Hwang , Keun Ho Ryu: A New XML Clustering for Structural Retrieval. ER 2004 : 377-387

Hoang Do Thanh Tung , Young Jin Jung , Eung-Jae Lee , Keun Ho Ryu: Moving Point Indexing for Future Location Query. ER (Workshops) 2004 : 79-90

Moon Sun Shin , Eun Hee Kim , Keun Ho Ryu: False Alarm Classification Model for Network-Based Intrusion Detection System. IDEAL 2004 : 259-265

Sung-Hee Park , Keun Ho Ryu: Fast Filtering of Structural Similarity Search Using Discovery of Topological Patterns. IDEAL 2004 : 396-401

Jun Wook Lee , Ok Hyun Paek , Keun Ho Ryu: Temporal moving pattern mining for location-based service. Journal of Systems and Software 73 (3): 481-490 (2004)

Moonsun Shin , Hosung Moon , Keun Ho Ryu, Kiyoung Kim , Jinoh Kim : Applying Data Mining Techniques to Analyze Alert Data. APWeb 2003 : 193-200

Jong Gyu Han , Keun Ho Ryu, Kwang Hoon Chi , Yeon Kwang Yeon : Statistics Based Predictive Geo-spatial Data Mining: Forest Fire Hazardous Area Mapping Application. APWeb 2003 : 370-381

Sung-Hee Park , Keun Ho Ryu, Hyeon S. Son : A Protein Structural Information Management Based on Spatial Database and an Active Trigger Rule. DEXA 2003 : 413-422

Yoon Ae Ahn , Jeong Seok Park , Keun Ho Ryu: Moving Object Inference Engine and Applying to Battlefield. IC-AI 2003 : 575-581

In Bae Oh , Yoon Ae Ahn , Keun Ho Ryu: Past Location Estimation of Mobile Objects. IC-AI 2003 : 608-614

Myung-Jin Lee , Moon Sun Shin , Ho Sung Moon , Keun Ho Ryu, Ki Young Kim : Design and Implementation of Alert Analyzer with Data Mining Engine. IDEAL 2003 : 1107-1112

Sung-Hee Park , Keun Ho Ryu, Hyeon S. Son : Protein Structure Modeling Using a Spatial Model for Structure Comparison. IDEAL 2003 : 490-497

Kyong Do Moon , Jeong Seok Park , Ye Ho Shin , Keun Ho Ryu: Incremental Condition Evaluation for Active Temporal Rules. IDEAL 2003 : 816-820

Kyeong Ja Jeong , Moonsun Shin , Hosung Moon , Keun Ho Ryu, Kiyoung Kim : Alert Analysis Using Data Mining for Security Policy Server in Policy Based Network Security Management. Security and Management 2003 : 219-225

Jin Suk Kim , Hohn Gyu Lee , Sungbo Seo , Keun Ho Ryu: CTAR: Classification Based on Temporal Class-Association Rules for Intrusion Detection. WISA 2003 : 84-96

Hyunyoon Yun , Danshim Ha , Buhyun Hwang , Keun Ho Ryu: Mining association rules on significant rare data using relative support. Journal of Systems and Software 67 (3): 181-191 (2003)

Jae Du Chung , Oh Hyun Paek , Jun Wook Lee , Keun Ho Ryu: Temporal Pattern Mining of Moving Objects for Location-Based Service. DEXA 2002 : 331-340

Jun Wook Lee , Yong Joon Lee , Hey Kyu Kim , Bu Hun Hwang , Keun Ho Ryu: Discovering Temporal Relation Rules Mining from Interval Data. EurAsia-ICT 2002 : 57-66

Jong Gyu Han , Keun Ho Ryu, Yeon Kwang Yeon , Kwang Hoon Chi : Land Surface Classification with Airborne Multi-spectral scanner Image Using a Neuro-Fuzzy Model. IC-AI 2002 : 678-683

Dong Ho Kim , Keun Ho Ryu, Chee Hang Park : Design and implementation of spatiotemporal database query processing system. Journal of Systems and Software 60 (1): 37-49 (2002)

Dong Ho Kim , Keun Ho Ryu, Young So Cho : A new routing control technique using active temporal data management. Journal of Systems and Software 51 (1): 37-48 (2000)

Dong Ho Kim , Keun Ho Ryu, Hong Soo Kim : A spatiotemporal database model and query language. Journal of Systems and Software 55 (2): 129-149 (2000)

Jong Yun Lee , Kwang Jin Oh , Keun Ho Ryu: Integration with Spatiotemporal Relationship Operators in SQL. ACM-GIS 1998 : 165-167

1 [ 14 ] [ 15 ]

2 [ 30 ] [ 35 ]

3 [ 5 ] [ 17 ]

4 [ 3 ]

5 [ 7 ]

6 [ 31 ]

7 [ 8 ]

8 [ 5 ] [ 17 ]

9 [ 6 ]

10 [ 8 ]

11 [ 23 ] [ 31 ] [ 32 ] [ 33 ] [ 36 ]

12 [ 10 ]

13 [ 28 ]

14 [ 22 ] [ 26 ]

15 [ 2 ] [ 3 ] [ 4 ]

16 [ 21 ]

17 [ 6 ]

18 [ 2 ]

19 [ 9 ]

20 [ 18 ]

21 [ 13 ]

22 [ 10 ] [ 18 ]

23 [ 30 ] [ 34 ] [ 35 ]

24 [ 22 ] [ 26 ] [ 27 ] [ 29 ]

25 [ 9 ]

26 [ 1 ]

27 [ 6 ] [ 7 ] [ 19 ] [ 28 ]

28 [ 13 ]

29 [ 6 ]

30 [ 13 ]

31 [ 10 ] [ 18 ]

32 [ 11 ]

33 [ 27 ]

34 [ 33 ]

35 [ 34 ]

36 [ 14 ]

37 [ 1 ]

38 [ 7 ]

39 [ 19 ]

40 [ 4 ]

41 [ 11 ] [ 15 ]

42 [ 12 ] [ 16 ] [ 20 ] [ 24 ] [ 25 ]

43 [ 9 ] [ 28 ]

44 [ 13 ] [ 21 ]

45 [ 10 ] [ 18 ]

46 [ 11 ]

47 [ 12 ] [ 16 ]

48 [ 22 ]

49 [ 5 ] [ 17 ]

50 [ 8 ]




©2005 Association for Computing Machinery