Christos Tjortjis - Citegraph

Author Info

Name	Affiliation	Papers
CHRISTOS TJORTJIS	UMIST, Dept Computat, POB 88, Manchester M60 1QD, Lancs, England	52
Collaborators	Citations	PageRank
77	173	24.40
Referers	Referees	References
361	768	435

Search Limit

100768

Publications (52 rows)

Collaborators (77 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Sentiment Analysis on COVID-19 Twitter Data: A Sentiment Timeline	0	0.34	2022
Mining association rules from COVID-19 related twitter data to discover word patterns, topics and inferences	0	0.34	2022
A Methodology Using Classification For Traffic Prediction: Featuring The Impact Of Covid-19	0	0.34	2021
A Data Science approach analysing the Impact of Injuries on Basketball Player and Team Performance	0	0.34	2021
Data Mining Algorithms For Smart Cities: A Bibliometric Analysis	0	0.34	2021
Introducing a novel bi-functional method for exploiting sentiment in complex information networks.	0	0.34	2021
Social Media Types: introducing a data driven taxonomy	1	0.34	2020
Social media prediction: a literature review	2	0.38	2020
Sports Analytics for Football League Table and Player Performance Prediction	0	0.34	2020
Mining Association Rules from Code (MARC) to support legacy software management	0	0.34	2020
Big Data Mining for Smart Cities: Predicting Traffic Congestion using Classification	0	0.34	2020
Sports analytics - Evaluation of basketball players and team performance.	0	0.34	2020
Data Mining for Smart Cities: Predicting Electricity Consumption by Classification	0	0.34	2019
A survey on association rules mining using heuristics	2	0.35	2019
Sports Analytics algorithms for performance prediction	0	0.34	2019
Mining Traffic Accident Data for Hazard Causality Analysis	0	0.34	2019
A Hybrid Method for Sentiment Analysis of Election Related Tweets	0	0.34	2019
A Method for Predicting the Winner of the USA Presidential Elections using Data extracted from Twitter	2	0.47	2018
T3C: improving a decision tree classification algorithm's interval splits on continuous attributes.	2	0.51	2017
ARMICA-Improved: A New Approach for Association Rule Mining.	0	0.34	2017
The 50/50 Recommender: A Method Incorporating Personality into Movie Recommender Systems.	2	0.35	2017
Association Rules Mining By Improving The Imperialism Competitive Algorithm (Armica)	1	0.39	2016
Clustering Software Metric Values Extracted from C# Code for Maintainability Assessment.	1	0.34	2016
Combining Clustering And Classification For Software Quality Evaluation	1	0.34	2014
Personalised Fuzzy Recommendation for High Involvement Products	3	0.42	2013
Evaluating data mining algorithms using molecular dynamics trajectories	6	0.61	2013
Welcome from the Industrial Track Chair and the Industrial Forum Chair	0	0.34	2011
k-ATTRACTORS: A PARTITIONAL CLUSTERING ALGORITHM FOR NUMERIC DATA ANALYSIS	2	0.42	2011
Agent-Based Digital Networking in Furniture Manufacturing Enterprises	1	0.36	2010
Code Quality Evaluation Methodology Using The ISO/IEC 9126 Standard	14	0.85	2010
Towards Agent-Based 'Smart' Collaboration in Enterprise Networks	1	0.35	2010
Code4Thought Project: Employing the ISO/IEC-9126 Standard for Software Engineering-Product Quality Assessment	1	0.44	2009
A go-driven semantic similarity measure for quantifying the biological relatedness of gene products	2	0.39	2009
3rd International Workshop on Software Quality and Maintainability	0	0.34	2009
Clustering for Monitoring Software Systems Maintainability Evolution	6	0.49	2009
Special issue on the 12th conference on software maintenance and reengineering (CSMR 2008)	1	0.35	2009
Comparing data mining methods with logistic regression in childhood obesity prediction	10	0.88	2009
Scoring and summarising gene product clusters using the Gene Ontology	5	0.42	2008
Interpretation of Source Code Clusters in Terms of the ISO/IEC-9126 Maintainability Characteristics	7	0.67	2008
An improved methodology on information distillation by mining program source code	8	0.58	2007
k-Attractors: A Clustering Algorithm for Software Measurement Data Analysis	24	1.05	2007
A metric of confidence in requirements gathered from legacy systems: two industrial case studies	3	0.40	2006
Mining source code elements for comprehending object-oriented systems and evaluating their maintainability	13	0.81	2006
Towards healthy association rule mining (HARM): a fuzzy quantitative approach	4	0.46	2006
Building a Multi-level Database for Efficient Information Retrieval: A Framework Definition	0	0.34	2005
Clustering Data Retrieved from Java Source Code to Support Software Maintenance: A Case Study	9	0.70	2005
Data mining source code to facilitate program comprehension: experiments on clustering data retrieved from C++ programs	6	0.69	2004
Facilitating Program Comprehension by Mining Association Rules from Source Code	16	1.45	2003
From system comprehension to program comprehension	4	0.50	2002
T3: A Classification Algorithm for Data Mining	2	0.40	2002

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