A False Negative Oriented Approach for Efficient Data Stream Analysis in Ubiquitous Environment

被引：0

作者：

Kim, Younghee ^{[1
]}

Noh, Youngju ^{[2
]}

Kim, Wonyoung ^{[1
]}

Ryu, Junsuk ^{[1
]}

Kim, Ungmo ^{[1
]}

机构：

[1] Sungkyunkwan Univ, Sch Informat & Commun Engn, 300 Cheoncheon Dong, Suwon 440746, Gyeonggi Do, South Korea

[2] Chungnam Cheongyang Coll, Dept Comp informat, Chungnam, South Korea

来源：

PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON UBIQUITOUS INFORMATION TECHNOLOGIES & APPLICATIONS (ICUT 2009) | 2009年

关键词：

Ubiquitous Data Streaming Mining; Fasle Negative; Frequent Itemsets; Chernoff bound; Approximate Item; SLIDING WINDOW;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In recent years, advances in hardware technology have facilitated the ability to collect data continuously. Simple transactions of everyday life such as using a credit card, a phone or browsing the web lead to automated data storage. In this paper, we are focuses on finding frequent itemsets over ubiquitous data streams. The proposed method shows that false negative oriented approach that allows a controlled number of frequent itemsets missing from the output is a more promising solution for mining frequent itemsets. Therefore, we show that our method is simple to implement, and have provable quality, space, and time guarantees.

引用

页码：342 / +

页数：2

共 50 条

[21] Energy consumption analysis of data stream processing: a benchmarking approach
Dayarathna, Miyuru
Li, Yuanlong
Wen, Yonggang
Fan, Rui
SOFTWARE-PRACTICE & EXPERIENCE, 2017, 47 (10): : 1443 - 1462
[22] AN ENVIRONMENT FOR EFFICIENT FLOW CYTOMETRY DATA MANAGEMENT AND ANALYSIS
Drakos, John
Psarra, Katherine
Markala, Dimitra
Karakantza, Marina
Nikiforidis, George
Sakellaropoulos, George
CYTOMETRY PART B-CLINICAL CYTOMETRY, 2009, 76B (06) : 439 - 439
[23] Efficient Geospatial Data Analysis Framework in Fog Environment
Saber, Walaa
Eisa, Rania
Attia, Radwa
IEEE ACCESS, 2022, 10 : 133591 - 133600
[24] An Approach to Sentiment Analysis on Unstructured Data in Big Data Environment
Borikar, Dilipkumar A.
Chandak, Manoj B.
SMART TRENDS IN INFORMATION TECHNOLOGY AND COMPUTER COMMUNICATIONS, SMARTCOM 2016, 2016, 628 : 169 - 176
[25] Data Stream Oriented Fine-grained Sparse CNN Accelerator with Efficient Unstructured Pruning Strategy
Yu, Tianyang
Wu, Bi
Chen, Ke
Yan, Chenggang
Liu, Weiqiang
PROCEEDINGS OF THE 32ND GREAT LAKES SYMPOSIUM ON VLSI 2022, GLSVLSI 2022, 2022, : 243 - 248
[26] A false negative approach to mining frequent itemsets from high speed transactional data streams
Yu, Jeffrey Xu
Chong, Zhihong
Lu, Hongjun
Zhang, Zhenjie
Zhou, Aoying
INFORMATION SCIENCES, 2006, 176 (14) : 1986 - 2015
[27] On the design of energy efficient environment monitoring station and data collection network based on ubiquitous wireless sensor networks
Tuan-Duc Nguyen
Tran Thien Thanh
Lap-Luat Nguyen
Huu-Tue Huynh
2015 IEEE RIVF INTERNATIONAL CONFERENCE ON COMPUTING & COMMUNICATION TECHNOLOGIES - RESEARCH, INNOVATION, AND VISION FOR THE FUTURE (RIVF), 2015, : 163 - 168
[28] Motion Data Editor Software Architecture Oriented on Efficient and General Purpose Data Analysis
Kulbacki, Marek
Janiak, Mateusz
Kniec, Wojciech
INTELLIGENT INFORMATION AND DATABASE SYSTEMS, PT II, 2014, 8398 : 545 - 554
[29] Controlling false-negative errors in microarray differential expression analysis: a PRIM approach
Cole, SW
Galic, Z
Zack, JA
BIOINFORMATICS, 2003, 19 (14) : 1808 - 1816
[30] Towards an Efficient Data Fragmentation, Allocation, and Clustering Approach in a Distributed Environment
Abdalla, Hassan
Artoli, Abdel Monim
INFORMATION, 2019, 10 (03)

← 1 2 3 4 5 →