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MH Saraee
Contact
Biography
My Most Viewed
My Latest
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Contact
Name:
MH Saraee
Email:
M.Saraee@salford.ac.uk
Department:
School of Science, Engineering & Environment
Organisation:
School of Science, Engineering and Environment
Address:
Newton 209 Salford University Greater Manchester M5 4WT
Country:
UK
profile_image:
Biography
Expertise:
Data Mining, Medical Data Mining, Bioinformatics, Advanced Database Systems, Semantic Web, Big Data
Job title:
Chair in Data Science
Qualifications:
PhD University of Manchester
My Most Viewed
#
Item title
1.
A data mining approach to analysis and prediction of movie ratings
2351
12454
2.
A survey on utilization of data mining approaches for dermatological (skin) diseases prediction
1534
2917
3.
TempoMiner: towards mining time-oriented data
1099
4.
The use of genetic algorithm for feature selection in video concept detection
811
3
5.
Latent dirichlet markov allocation for sentiment analysis
672
916
6.
A new unsupervised feature selection method for text clustering based on genetic algorithms
551
1884
7.
Privacy-preserving data mining in peer to peer networks
518
796
8.
A new method for compressing massive RFID data to achieve efficient mining
505
55
9.
Feature selection methods in Persian sentiment analysis
503
575
10.
An unsupervised aspect detection model for sentiment analysis of reviews
462
4
My Latest
Adeboye, OA
ORCID: https://orcid.org/0000-0002-6225-3383
,
Dargahi, T
ORCID: https://orcid.org/0000-0002-0908-6483
,
Babaie, M
ORCID: https://orcid.org/0000-0002-8480-940X
,
Saraee, MH
ORCID: https://orcid.org/0000-0002-3283-1912
and
Yu, C
2022,
'DeepClean : a robust deep learning technique for autonomous vehicle camera data privacy'
, IEEE Access .
Bunu, SM
,
Saraee, MH
ORCID: https://orcid.org/0000-0002-3283-1912
and
Alani, OYK
ORCID: https://orcid.org/0000-0002-5848-9107
2022,
Machine learning-based optimized link state routing protocol for D2D communication in 5G/B5G
, in: The 4th International Conference on Electrical Engineering and Informatics (ICELTICs) 2022, September 27-28, 2022, Banda Aceh, Indonesia.
Tracey, PJ
,
Saraee, MH
ORCID: https://orcid.org/0000-0002-3283-1912
and
Hughes, CJ
ORCID: https://orcid.org/0000-0002-4468-6660
2021,
Applying NLP to build a cold reading chatbot
, in: ISEEIE 2021: 2021 International Symposium on Electrical, Electronics and Information Engineering, 19th-21st February 2021, Seoul, Republic of Korea.
Silva, C
and
Saraee, MH
ORCID: https://orcid.org/0000-0002-3283-1912
2020,
Predicting average annual electricity outage using electricity distribution network operator's performance indicators
, in: 2020 Advances in Science and Engineering Technology International Conferences (ASET), 4th February-9th April 2020, Dubai, United Arab Emirates.
Silva, C
and
Saraee, MH
ORCID: https://orcid.org/0000-0002-3283-1912
2020,
Electricity distribution network : seasonality and the dynamics of equipment failures related network faults
, in: 2020 Advances in Science and Engineering Technology International Conferences (ASET), 4th February-9th April 2020, Dubai, United Arab Emirates.
Saraee, M
,
Silva, HCE
and
Saraee, MH
ORCID: https://orcid.org/0000-0002-3283-1912
2019,
Predictive modelling in mental health : a data science approach
, in: 2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (IEEE CSUDET), 7 to 9 November 2019, Penang, Malaysia.
Silva, HCE
and
Saraee, MH
ORCID: https://orcid.org/0000-0002-3283-1912
2019,
Predicting road traffic accident severity using decision trees and time-series calendar heatmaps
, in: The 6th IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (2019 IEEE CSUDET), 7 - 9 November 2019, Penang, Malaysia.
Rezaei, H
,
Moeinzadeh, SA
,
Shahgholian, A
and
Saraee, MH
ORCID: https://orcid.org/0000-0002-3283-1912
2019,
'Features in extractive supervised single-document summarization : case of Persian news'
, arXiv .
Silva, HCE
and
Saraee, MH
ORCID: https://orcid.org/0000-0002-3283-1912
2019,
Understanding causes of low voltage (LV) faults in electricity distribution network using association rule mining and text clustering
, in: 3RD IEEE Industrial and Commercial Power System Europe (I&CPS), 11-14 June 2019, Genoa, Italy.
Silva, HCE
,
Saraee, M
and
Saraee, MH
ORCID: https://orcid.org/0000-0002-3283-1912
2019,
Data science in public mental health : a new analytic framework
, in: IEEE Symposium on Computers and Communications June 30 - July 3, 2019 – Barcelona, Spain.