Semantic Data Pre-Processing for Machine Learning Based Bankruptcy Prediction Computational Model

Yerashenia, N., Bolotov, A., Chan You Fee, D. and Pierantoni, G. 2020. Semantic Data Pre-Processing for Machine Learning Based Bankruptcy Prediction Computational Model. 22nd IEEE International Conference on Business Informatics (IEEE CBI 2020) . Antwerp, Belgium 22 - 24 Jun 2020 IEEE . https://doi.org/10.1109/CBI49978.2020.00015

TitleSemantic Data Pre-Processing for Machine Learning Based Bankruptcy Prediction Computational Model
AuthorsYerashenia, N., Bolotov, A., Chan You Fee, D. and Pierantoni, G.
TypeConference paper
Abstract

This paper studies a Bankruptcy Prediction Computational Model (BPCM model) – a comprehensive methodology of evaluating companies’ bankruptcy level, which combines storing, structuring and pre-processing of raw financial data using semantic methods with machine learning analysis techniques. Raw financial data are interconnected, diverse, often potentially inconsistent, and open to duplication. The main goal of our research is to develop data pre-processing techniques, where ontologies play a central role. We show how ontologies are used to extract and integrate information from different sources, prepare data for further processing, and enable communication in natural language. Using ontology, we give meaning to the disparate and raw business data, build logical relationships between data in various formats and sources and establish relevant context. Our Ontology of Bankruptcy Prediction (OBP Ontology) which provides a conceptual framework for companies’ financial analysis, is built in the widely established Prote ́ge ́ environment. An OBP Ontology can be effectively described with a graph database. Graph database expands the capabilities of traditional databases tackling the interconnected nature of economic data and providing graph-based structures to store information allowing the effective selection of the most relevant input features for the machine learning algorithm. To create and manage the BPCM Graph Database (Graph DB), we use the Neo4j environment and Neo4j query language, Cypher, to perform feature selection of the structured data. Selected key features are used for the Machine Learning Engine – supervised MLP Neural Network with Sigmoid activation function. The programming of this component is performed in Python. We illustrate the approach and advantages of semantic data pre-processing applying it to a representative use case.

Keywordssemantic data analysis
graph database
ontology
financial analysis
financial ratios
bankruptcy prediction
computational model
neural network
Protege
Neo4j
Python
Year2020
Conference22nd IEEE International Conference on Business Informatics (IEEE CBI 2020)
PublisherIEEE
Accepted author manuscript
File Access Level
Open (open metadata and files)
Publication dates
Published15 Jul 2020
ISSN2378-1971
Digital Object Identifier (DOI)https://doi.org/10.1109/CBI49978.2020.00015

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Basso, A. and Bolotov, A. 2008. Towards GCM re-configuration – extending specification by norm. in: Danelutto, M., Fragopoulou, P. and Getov, Vladimir (ed.) Making grids work: Proceedings of the CoreGRID Workshop on Programming Models Grid and P2P System Architecture Grid Systems, Tools and Environments 12-13 June 2007, Heraklion, Crete, Greece New York, NY, USA Springer. pp. 17-29

A Simpler formulation of natural deduction calculus for linear-time temporal logic
Bolotov, A., Grigoriev, O. and Shangin, V. 2007. A Simpler formulation of natural deduction calculus for linear-time temporal logic. in: Bhanu, P. (ed.) Proceedings of the 3rd Indian International Conference on Artificial Intelligence, Pune, India, December 17-19, 2007. IICAI 2007 India IICAI. pp. 1253-1266

Buy one get two free: a simpler formulation of natural deduction for computation tree logic CTL
Bolotov, A., Grigoriev, O. and Shangin, V. 2007. Buy one get two free: a simpler formulation of natural deduction for computation tree logic CTL. in: Proceedings of the "Smirnov's Readings", VI International Conference (in Russian) Moscow, Russia Moscow State University.

Automating natural deduction for linear-time temporal logic
Bolotov, A., Grigoriev, O. and Shangin, V. 2007. Automating natural deduction for linear-time temporal logic. in: 14th International Symposium on Temporal Representation and Reasoning (TIME'07)), 28-30 June 2007, Alicante, Spain Los Alamitos, USA IEEE . pp. 47-58

Automating natural deduction for temporal logic
Bolotov, A., Grigoriev, O. and Shangin, V. 2007. Automating natural deduction for temporal logic. in: Proceedings of the 14th Workshop on Automated Reasoning: Bridging the Gap between Theory and Practice, ARW 2007. London Imperial College.

A clausal resolution method for extended computation tree logic ECTL
Bolotov, A. and Basukoski, A. 2006. A clausal resolution method for extended computation tree logic ECTL. Journal of Applied Logic. 4 (2), pp. 141-167. https://doi.org/10.1016/j.jal.2005.06.003

Specification and verification of reconfiguration protocols in grid component systems
Basso, A., Bolotov, A., Basukoski, A., Getov, Vladimir, Henrio, L. and Urbanski, M. 2006. Specification and verification of reconfiguration protocols in grid component systems. CoreGRID. https://doi.org/CoreGRIDTechnicalReportNumberTR-0042

A clausal resolution method for branching-time logic ECTL+
Bolotov, A. and Basukoski, A. 2006. A clausal resolution method for branching-time logic ECTL+. Annals of Mathematics and Artificial Intelligence. 46 (3), pp. 235-263. https://doi.org/10.1007/s10472-006-9018-1

Specification and Verification of Reconfiguration Protocols in Grid Component Systems
Bolotov, A., Getov, Vladimir, Basso, A. and Basukoski, A. 2006. Specification and Verification of Reconfiguration Protocols in Grid Component Systems. Proceedings of the Workshop on Automated Reasoning: Bridging the Gap between Theory and Practice. London 30 - 31 Mar 2010 University of Bristol Technical Report.

Search and Check: problem solving by problem reduction
Bolotov, A., Lupkowski, P. and Urbanski, M. 2006. Search and Check: problem solving by problem reduction. in: Artificial Intelligence and Soft Computing ICAISC 2006: 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings Polish Neural Networks Society.

Natural deduction calculus for computation tree logic
Bolotov, A., Grigoriev, O. and Shangin, V. 2006. Natural deduction calculus for computation tree logic. in: IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06) Los Alamitos, USA IEEE . pp. 175-183

Natural deduction calculus for linear-time temporal logic
Bolotov, A., Basukoski, A., Grigoriev, O. and Shangin, V. 2006. Natural deduction calculus for linear-time temporal logic. in: Fisher, M., van der Hoek, W., Konev, B. and Lisitsa, A. (ed.) Logics in artificial intelligence: 10th European conference, JELIA 2006: Liverpool, UK September 13-15 2006: proceedings Berlin, Germany Springer.

Specification and verification of reconfiguration protocols in grid component systems
Basso, A., Bolotov, A., Basukoski, A., Getov, Vladimir, Henrio, L. and Urbanski, M. 2006. Specification and verification of reconfiguration protocols in grid component systems. in: Proceedings of the 3rd IEEE International Conference on Intelligent Systems (IS-2006) Los Alamitos, USA IEEE . pp. 450-455

Alternating automata and temporal logic normal forms
Dixon, C., Bolotov, A. and Fisher, M. 2005. Alternating automata and temporal logic normal forms. Annals of Pure and Applied Logic. 135 (1-3), pp. 263-285. https://doi.org/10.1016/j.apal.2005.03.002

Normative agents: formal analysis and applications
Bolotov, A. and Svigkos, I. 2005. Normative agents: formal analysis and applications. in: Proceedings of the International Conference Business at the Heart of Central Asia: Critical Issues of Competition and Competitiveness Westminster International University in Tashkent.

Proof-searching algorithm in first order classical natural deduction calculus
Bolotov, A., Bocharov, V., Gorchakov, A. and Shangin, V. 2005. Proof-searching algorithm in first order classical natural deduction calculus. in: Hajek, P., Valdes-Villanueva, L. and Westerstahl, D. (ed.) Logic, methodology and philosophy of science: proceedings of the twelfth international congress King's College Publications.

Automated first order natural deduction
Bolotov, A., Bocharov, V., Gorchakov, A. and Shangin, V. 2005. Automated first order natural deduction. in: Prasad, B. (ed.) Proceedings of the 2nd Indian International Conference on Artificial Intelligence, Pune, India, December 20-22, 2005. IICAI 2005 ISCAI. pp. 1292-1311

Search strategies for resolution in CTL-type logics: extension and complexity
Basukoski, A. and Bolotov, A. 2005. Search strategies for resolution in CTL-type logics: extension and complexity. in: 12th International Symposium on Temporal Representation and Reasoning, 2005: TIME 2005 Los Alamitos, USA IEEE . pp. 195-197

Let the computer prove it
Bolotov, A., Bocharov, V., Gorchakov, A., Makarov, V. and Shangin, V. 2004. Let the computer prove it. Moscow, Russia Nauka.

A clausal resolution method for branching-time logic ECTL+
Bolotov, A. and Basukoski, A. 2004. A clausal resolution method for branching-time logic ECTL+. in: Combi, C. (ed.) 11th International Symposium on Temporal Representation and Reasoning: (TIME 2004), Tatihou, Normandie, France, 1-3 July 2004 IEEE . pp. 140-147

The relationship between Temporal Logic, Normal Form and Alternating Automata
Dixon, C., Bolotov, A. and Fisher, M. 2003. The relationship between Temporal Logic, Normal Form and Alternating Automata. Proceedings of the Workshop on Automated Reasoning: Bridging the Gap between Theory and Practice. London 30 - 31 Mar 2010

A clausal resolution for extended computation tree logic ECTL
Bolotov, A. 2003. A clausal resolution for extended computation tree logic ECTL. in: Reynolds, M. and Sattar, A. (ed.) Proceedings of the Combined Tenth International Symposium on Temporal Representation and Reasoning and the Fourth International Conference on Temporal Logic: TIME-ICTL 2003 Cairns, Queensland, Australia, 8-10 July 2003 USA IEEE . pp. 107-117

On the relationship between w-automata and temporal logic normal forms
Bolotov, A., Fisher, M. and Dixon, C. 2002. On the relationship between w-automata and temporal logic normal forms. Journal of Logic and Computation. 12 (4), pp. 561-581. https://doi.org/10.1093/logcom/12.4.561

Clausal resolution in a logic of rational agency
Dixon, C., Fisher, M. and Bolotov, A. 2002. Clausal resolution in a logic of rational agency. Artificial Intelligence: an international journal. 139 (1), pp. 47-89. https://doi.org/10.1016/S0004-3702(02)00196-0

Towards Automated Generation of Beliefs in BDI Logics.
Basukoski, A. and Bolotov, A. 2002. Towards Automated Generation of Beliefs in BDI Logics. Automated Reasoning Workshop ARW2002. Imperial College, London Imperial College.

Towards Automated Generation of Beliefs in BDI Logics
Basukoski, A. and Bolotov, A. 2002. Towards Automated Generation of Beliefs in BDI Logics. UK Automated Reasoning Workshop (ARW). Imperial College.

The scientist and his time
Bolotov, A. and Zaitzev, D. 1993. The scientist and his time. Moscow University Bulletin. 5, pp. 1-12.

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