Chowdhury Farhan Ahmed

Appl. Intell., March, 2024

Discovering Interesting Patterns from Hypergraphs.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, January, 2024

A new tree-based approach to mine sequential patterns.

[BibT_eX]

[DOI]

Md. Fahim Arefin

Expert Syst. Appl., 2024

Unveiling Market Sentiments: A Comprehensive Analysis of Stock Market Responses to Diverse News Events Using Data Mining Techniques.

[BibT_eX]

[DOI]

Sartaj Solaiman

B. M. Obaydur Rahman

Md. Fahim Arefin

Evan W. R. Madill

Proceedings of the 18th International Conference on Ubiquitous Information Management and Communication, 2024

An Efficient Approach to Learn an Effective Hierarchy of a Set of OOBN Classes.

[BibT_eX]

[DOI]

Wakilur Islam

Connor C. J. Hryhoruk

Proceedings of the 18th International Conference on Ubiquitous Information Management and Communication, 2024

2023

Discovering probabilistically weighted sequential patterns in uncertain databases.

[BibT_eX]

[DOI]

Md. Sahidul Islam

Pankaj Chandra Kar

Mohammad Samiullah

Appl. Intell., March, 2023

UGMINE: utility-based graph mining.

[BibT_eX]

[DOI]

Amit Roy

Appl. Intell., 2023

Connectable and Independent Junction Tree-Based Compilation Technique of Object-Oriented Bayesian Networks.

[BibT_eX]

[DOI]

A. M. Aahad

Khondker Bin Yamin

Evan W. R. Madill

Mohammad Ehsan Shahmi Chowdhury

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2022

A New Approach for Mining Correlated Frequent Subgraphs.

[BibT_eX]

[DOI]

ACM Trans. Manag. Inf. Syst., 2022

Mining weighted sequential patterns in incremental uncertain databases.

[BibT_eX]

[DOI]

Kashob Kumar Roy

Md Hasibul Haque Moon

Inf. Sci., 2022

New approaches for mining regular high utility sequential patterns.

[BibT_eX]

[DOI]

Sabrina Zaman Ishita

Appl. Intell., 2022

Mining Contextual Item Similarity without Concept Hierarchy.

[BibT_eX]

[DOI]

Mohammad Fahim Arefin

Longbing Cao

Proceedings of the 16th International Conference on Ubiquitous Information Management and Communication, 2022

2021

Mining Sequential Patterns in Uncertain Databases Using Hierarchical Index Structure.

[BibT_eX]

[DOI]

Kashob Kumar Roy

Md Hasibul Haque Moon

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Discriminating Frequent Pattern Based Supervised Graph Embedding for Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Mining Frequent Patterns from Hypergraph Databases.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Mining High Utility Subgraphs.

[BibT_eX]

[DOI]

Amit Roy

Proceedings of the 2021 International Conference on Data Mining, 2021

UFreS: A New Technique for Discovering Frequent Subgraph Patterns in Uncertain Graph Databases.

[BibT_eX]

[DOI]

Riddho Ridwanul Haque

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020

Tree-Miner: Mining Sequential Patterns from SP-Tree.

[BibT_eX]

[DOI]

Mohammad Fahim Arefin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2019

Mining weighted frequent sequences in uncertain databases.

[BibT_eX]

[DOI]

Inf. Sci., 2019

An Effective Recursive Technique for Multi-Class Classification and Regression for Imbalanced Data.

[BibT_eX]

[DOI]

Muhammad Asif Hossain Khan

Maliha Tashfia Islam

IEEE Access, 2019

Sliding window based weighted periodic pattern mining over time series data.

[BibT_eX]

Md Shahadat Hossain Shahin

Deyu Deng

Jiaxing Jason Mai

Proceedings of the Advances in Data Mining, 2019

An efficient approach for mining weighted frequent patterns with dynamic weights.

[BibT_eX]

Umama Dewan

Proceedings of the Advances in Data Mining, 2019

WeFreS: weighted frequent subgraph mining in a single large graph.

[BibT_eX]

Nahian Ashraf

Riddho Ridwanul Haque

Jiaxing Jason Mai

Bryan H. Wodi

Proceedings of the Advances in Data Mining, 2019

Discovering Correlation in Frequent Subgraphs.

[BibT_eX]

[DOI]

Fariha Moomtaheen Upoma

Salsabil Ahmed Khan

Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

Mining Weighted Frequent Patterns from Uncertain Data Streams.

[BibT_eX]

[DOI]

Jesan Ahammed Ovi

Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

Mining Regular High Utility Sequential Patterns in Static and Dynamic Databases.

[BibT_eX]

[DOI]

Sabrina Zaman Ishita

Calvin S. H. Hoi

Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

2018

Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach.

[BibT_eX]

[DOI]

Michael Cochez

Oya Deniz Beyan

Stefan Decker

Inf. Sci., 2018

Mining non-redundant closed flexible periodic patterns.

[BibT_eX]

[DOI]

Sayma Akther

Eng. Appl. Artif. Intell., 2018

An effective method for classification with missing values.

[BibT_eX]

[DOI]

Appl. Intell., 2018

WFSM-MaxPWS: An Efficient Approach for Mining Weighted Frequent Subgraphs from Edge-Weighted Graph Databases.

[BibT_eX]

[DOI]

Calvin S. H. Hoi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

A New Approach for Mining Representative Patterns.

[BibT_eX]

[DOI]

Abeda Sultana

Hosneara Ahmed

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2018

An Efficient Approach for Mining Weighted Sequential Patterns in Dynamic Databases.

[BibT_eX]

[DOI]

Sabrina Zaman Ishita

Faria Noor

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2018

Mining Sequential Correlation with a New Measure.

[BibT_eX]

[DOI]

Mohammad Fahim Arefin

Maliha Tashfia Islam

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2018

Mining Cross-Level Closed Sequential Patterns.

[BibT_eX]

[DOI]

Rutba Aman

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2018

An Effective Ensemble Method for Multi-class Classification and Regression for Imbalanced Data.

[BibT_eX]

[DOI]

Muhammad Asif Hossain Khan

Maliha Tashfia Islam

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2018

Frequent Sequence Mining with Weight Constraints in Uncertain Databases.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, 2018

Reframing for Non-Linear Dataset Shift.

[BibT_eX]

[DOI]

Md Shadman Rafid

Mohammad Mazedul Islam

Md. Naimul Hoque

Proceedings of the Extraction et Gestion des Connaissances, 2018

2017

An efficient dynamic superset bit-vector approach for mining frequent closed itemsets and their lattice structure.

[BibT_eX]

[DOI]

Tahrima Hashem

Expert Syst. Appl., 2017

A new framework for mining weighted periodic patterns in time series databases.

[BibT_eX]

[DOI]

Ashis Kumar Chanda

Expert Syst. Appl., 2017

An Efficient Approach for Mining Frequent Subgraphs.

[BibT_eX]

[DOI]

Mohammad Samiullah

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

2016

Mining interesting patterns from uncertain databases.

[BibT_eX]

[DOI]

Akiz Uddin Ahmed

Nahim Adnan

Inf. Sci., 2016

Reframing in context: A systematic approach for model reuse in machine learning.

[BibT_eX]

[DOI]

José Hernández-Orallo

Adolfo Martínez Usó

Ricardo B. C. Prudêncio

Meelis Kull

Peter A. Flach

AI Commun., 2016

An Efficient Approach for Mining Frequent Patterns over Uncertain Data Streams.

[BibT_eX]

[DOI]

Md. Badi-Uz-Zaman Shajib

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Reframing in Clustering.

[BibT_eX]

[DOI]

Md. Naimul Hoque

Hao Zhang

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

2015

Flexible propositionalization of continuous attributes in relational data mining.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2015

A new framework for mining frequent interaction patterns from meeting databases.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2015

An efficient approach to mine flexible periodic patterns in time series databases.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2015

A Sliding Window-Based Algorithm for Detecting Leaders from Social Network Action Streams.

[BibT_eX]

[DOI]

Quazi Marufur Rahman

Amit Mandal

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Reframing in Frequent Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

GSCS - Graph Stream Classification with Side Information.

[BibT_eX]

[DOI]

Amit Mandal

Mehedi Hasan

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014

Mining frequent correlated graphs with a new measure.

[BibT_eX]

[DOI]

Md. Rafiqul Islam

Expert Syst. Appl., 2014

An efficient approach for mining cross-level closed itemsets and minimal association rules using closed itemset lattices.

[BibT_eX]

[DOI]

Tahrima Hashem

Expert Syst. Appl., 2014

Reframing on Relational Data.

[BibT_eX]

[DOI]

Clément Charnay

Agnès Braud

Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

Reframing Continuous Input Attributes.

[BibT_eX]

[DOI]

Clément Charnay

Agnès Braud

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

2013

Effective periodic pattern mining in time series databases.

[BibT_eX]

[DOI]

Manziba Akanda Nishi

Expert Syst. Appl., 2013

Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs.

[BibT_eX]

[DOI]

S. M. Abdullah

Longbing Cao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Correlation Mining in Graph Databases with a New Measure.

[BibT_eX]

[DOI]

Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012

Single-pass incremental and interactive mining for weighted frequent patterns.

[BibT_eX]

[DOI]

Ho-Jin Choi

Expert Syst. Appl., 2012

Interactive mining of high utility patterns over data streams.

[BibT_eX]

[DOI]

Ho-Jin Choi

Expert Syst. Appl., 2012

EGDIM: evolving graph database indexing method.

[BibT_eX]

[DOI]

Shariful Islam

Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, 2012

2011

A framework for mining interesting high utility patterns with a strong frequency affinity.

[BibT_eX]

[DOI]

Ho-Jin Choi

Inf. Sci., 2011

HUC-Prune: an efficient candidate pruning technique to mine high utility patterns.

[BibT_eX]

[DOI]

Appl. Intell., 2011

2010

Mining High Utility Web Access Sequences in Dynamic Web Log Data.

[BibT_eX]

[DOI]

Proceedings of the 11th ACIS International Conference on Software Engineering, 2010

Mining Regular Patterns in Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2010

Mining Regular Patterns in Incremental Transactional Databases.

[BibT_eX]

[DOI]

Proceedings of the Advances in Web Technologies and Applications, 2010

An Efficient Method for Incremental Mining of Share-Frequent Patterns.

[BibT_eX]

[DOI]

Proceedings of the Advances in Web Technologies and Applications, 2010

2009

Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2009

Sliding window-based frequent pattern mining over data streams.

[BibT_eX]

[DOI]

Inf. Sci., 2009

Efficient single-pass frequent pattern mining using a prefix-tree.

[BibT_eX]

[DOI]

Inf. Sci., 2009

An Efficient Algorithm for Sliding Window-Based Weighted Frequent Pattern Mining over Data Streams.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2009

Discovering Periodic-Frequent Patterns in Transactional Databases.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

An Efficient Candidate Pruning Technique for High Utility Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Mining high utility patterns in incremental databases.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, 2009

Parallel and Distributed Frequent Pattern Mining in Large Databases.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on High Performance Computing and Communications, 2009

Efficient Mining of Weighted Frequent Patterns over Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on High Performance Computing and Communications, 2009

2008

Mining Regular Patterns in Transactional Databases.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2008

Handling Dynamic Weights in Weighted Frequent Pattern Mining.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2008

Mining Weighted Frequent Patterns in Incremental Databases.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

CP-Tree: A Tree Structure for Single-Pass Frequent Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

RP-Tree: A Tree Structure to Discover Regular Patterns in Transactional Database.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Mining Weighted Frequent Patterns Using Adaptive Weights.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Efficient frequent pattern mining over data streams.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

ShrFP-Tree: An Efficient Tree Structure for Mining Share-Frequent Patterns.

[BibT_eX]

[DOI]

Proceedings of the Data Mining and Analytics 2008, 2008

Efficient Single-Pass Mining of Weighted Interesting Patterns.

[BibT_eX]

[DOI]

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2005

An Advanced Minimization Technique for Multiple Valued Multiple Output Logic Expressions Using LUT and Realization Using Current Mode CMOS.

[BibT_eX]

[DOI]

Md. Sumon Shahriar

A. R. Mustafa