Остановите войну!
for scientists:
default search action
Search dblp
Full-text search
- > Home
Please enter a search query
- case-insensitive prefix search: default
e.g., sig matches "SIGIR" as well as "signal" - exact word search: append dollar sign ($) to word
e.g., graph$ matches "graph", but not "graphics" - boolean and: separate words by space
e.g., codd model - boolean or: connect words by pipe symbol (|)
e.g., graph|network
Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.
Author search results
no matches
Venue search results
no matches
Refine list
refine by author
- no options
- temporarily not available
refine by venue
- no options
- temporarily not available
refine by type
- no options
- temporarily not available
refine by access
- no options
- temporarily not available
refine by year
- no options
- temporarily not available
Publication search results
found 177 matches
- 2024
- Eyad Kannout, Marek Grzegorowski, Michal Grodzki, Hung Son Nguyen:
Clustering-Based Frequent Pattern Mining Framework for Solving Cold-Start Problem in Recommender Systems. IEEE Access 12: 13678-13698 (2024) - 2023
- Changben Zhou, Jian Xu, Ming Jiang, Donghang Tang, Sheng Wang:
Mining Top-k Frequent Patterns in Large Geosocial Networks: A Mnie-Based Extension Approach. IEEE Access 11: 27662-27675 (2023) - S. Sivanantham, V. Mohanraj, Y. Suresh, J. Senthilkumar:
Association Rule Mining Frequent-Pattern-Based Intrusion Detection in Network. Comput. Syst. Sci. Eng. 44(2): 1617-1631 (2023) - László Bántay, János Abonyi:
Frequent pattern mining-based log file partition for process mining. Eng. Appl. Artif. Intell. 123(Part A): 106221 (2023) - Jimmy Ming-Tai Wu, Ranran Li, Mu-En Wu, Jerry Chun-Wei Lin:
Mining skyline frequent-utility patterns from big data environment based on MapReduce framework. Intell. Data Anal. 27(5): 1359-1377 (2023) - Lyuheng Yuan, Da Yan, Wenwen Qu, Saugat Adhikari, Jalal Khalil, Cheng Long, Xiaoling Wang:
T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph. Proc. ACM Manag. Data 1(1): 74:1-74:26 (2023) - 2022
- Claudio Teixeira, Luana Fragoso, Marta Mattoso, Diego Carvalho, Eduardo Bezerra, Jorge de Abreu Soares, Glauco Amorim, Eduardo S. Ogasawara:
A horizontal partitioning-based method for frequent pattern mining in transport timetable. Expert Syst. J. Knowl. Eng. 39(2) (2022) - Alexandre Colombo, Roberta Spolon Ulson, Aleardo Manacero Jr., Renata Spolon Lobato, Marcos Antônio Cavenaghi:
Apriori-roaring: frequent pattern mining method based on compressed bitmaps. Int. J. Bus. Intell. Data Min. 21(1): 48-65 (2022) - Ming-Yen Lin, Cheng-Tai Fu, Sue-Chen Hsueh:
Interactive Mining of Probabilistic Frequent Patterns in Uncertain Databases. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 30(2): 263-283 (2022) - Yue Yin, Peng Li, Jing Chen:
A Variable Sliding Window Algorithm Based on Concept Drift for Frequent Pattern Mining Over Data Streams*. ICPADS 2022: 818-825 - 2021
- Huong Bui, Tu-Anh Nguyen-Hoang, Bay Vo, Ham Nguyen, Tuong Le:
A Sliding Window-Based Approach for Mining Frequent Weighted Patterns Over Data Streams. IEEE Access 9: 56318-56329 (2021) - Razieh Davashi:
UP-tree & UP-Mine: A fast method based on upper bound for frequent pattern mining from uncertain data. Eng. Appl. Artif. Intell. 106: 104477 (2021) - Yaling Xun, Xiaohui Cui, Jifu Zhang, Qingxia Yin:
Incremental frequent itemsets mining based on frequent pattern tree and multi-scale. Expert Syst. Appl. 163: 113805 (2021) - Pengxiang Zhao, David Jonietz, Martin Raubal:
Applying frequent-pattern mining and time geography to impute gaps in smartphone-based human-movement data. Int. J. Geogr. Inf. Sci. 35(11): 2187-2215 (2021) - Krishna Kumar Mohbey, Sunil Kumar:
A parallel approach for high utility-based frequent pattern mining in a big data environment. Iran J. Comput. Sci. 4(3): 195-200 (2021) - Chen Chen, Li Yang, Xunan Jia:
A bit-object-based method for mining maximum frequent patterns in intensive cloud computing data. Web Intell. 19(1-2): 125-133 (2021) - Weiya Wang, Geng Yang, Lin Bao, Ke Ma, Hao Zhou, Yunlu Bai:
Travel Trajectory Frequent Pattern Mining Based on Differential Privacy Protection. Wirel. Commun. Mob. Comput. 2021: 6379530:1-6379530:14 (2021) - Chun Liu, Xin Li:
Mining Method Based on Semantic Trajectory Frequent Pattern. AINA (2) 2021: 146-159 - Alexandre Colombo, Roberta Spolon Ulson, Renata Spolon Lobato, Aleardo Manacero, Marcos Antônio Cavenaghi:
Apriori-Roaring-Parallel: Frequent pattern mining based on compressed bitmaps with OpenMP. ISCC 2021: 1-6 - Jiangna Xing, Xuebin Ma:
DP-gSpan: A Pattern Growth-based Differentially Private Frequent Subgraph Mining Algorithm. TrustCom 2021: 397-404 - (Withdrawn) Frequent mining analysis using pattern mining utility incremental algorithm based on relational query process. J. Ambient Intell. Humaniz. Comput. 12(5): 4745-4755 (2021)
- 2020
- Thanh-Ngo Nguyen, Loan T. T. Nguyen, Bay Vo, Ngoc Thanh Nguyen, Trinh D. D. Nguyen:
An N-List-Based Approach for Mining Frequent Inter-Transaction Patterns. IEEE Access 8: 116840-116855 (2020) - Shaligram Prajapat:
Frequent pattern mining for parameterised automatic variable key-based cryptosystems. Int. J. Bus. Intell. Data Min. 16(1): 33-48 (2020) - Rayanoothala Praneetha Sree, Durvasula V. L. N. Somayajulu, Sadam Ravichandra:
A Novel Approach for Mining Time and Space Proximity-based Frequent Sequential Patterns from Trajectory Data. J. Inf. Knowl. Manag. 19(4): 2050040:1-2050040:23 (2020) - Ye-In Chang, Jun-Hong Shen, Chia-En Li, Zih-Siang Chen, Ming-Hsuan Tu:
Mining image frequent patterns based on a frequent pattern list in image databases. J. Supercomput. 76(4): 2597-2621 (2020) - Guanqi Hua, Junhua Zhang, Lizhen Cui, Wei Guo, Xudong Lu, Wei He:
D-colSimulation: A Distributed Approach for Frequent Graph Pattern Mining based on colSimulation in a Single Large Graph. SCC 2020: 76-83 - Zhen Zhang, Jing Zhang, Fuxue Li, Xiangguo Zhao, Xin Bi:
Frequent Semantic Trajectory Sequence Pattern Mining in Location-Based Social Networks. APWeb/WAIM (1) 2020: 154-161 - Shaishab Roy, Mohammad Nasim Akhtar, Mostafijur Rahman:
An Improved Boolean Load Matrix-Based Frequent Pattern Mining. ICO 2020: 1026-1037 - 2019
- S. Gayathri Devi, M. Sabrigiriraj:
Swarm intelligent based online feature selection (OFS) and weighted entropy frequent pattern mining (WEFPM) algorithm for big data analysis. Clust. Comput. 22(5): 11791-11803 (2019) - Yi Chen, Peisen Yuan, Ming Qiu, Dechang Pi:
An indoor trajectory frequent pattern mining algorithm based on vague grid sequence. Expert Syst. Appl. 118: 614-624 (2019)
skipping 147 more matches
loading more results
failed to load more results, please try again later
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
retrieved on 2024-04-23 22:16 CEST from data curated by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint