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2. Predicting Song Popularity Through Machine Learning and Sentiment Analysis on Social Networks

Author

Rompolas, Gerasimos, Smpoukis, Athanasios, Kafeza, Eleanna, Makris, Christos, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Maglogiannis, Ilias, editor, Iliadis, Lazaros, editor, Karydis, Ioannis, editor, Papaleonidas, Antonios, editor, and Chochliouros, Ioannis, editor

Published
2024
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5. A Clustering-Based Combinatorial Approach to Unsupervised Matching of Product Titles

Author

Akritidis, Leonidas, Fevgas, Athanasios, Bozanis, Panayiotis, and Makris, Christos

Subjects
Computer Science - Information Retrieval, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

The constant growth of the e-commerce industry has rendered the problem of product retrieval particularly important. As more enterprises move their activities on the Web, the volume and the diversity of the product-related information increase quickly. These factors make it difficult for the users to identify and compare the features of their desired products. Recent studies proved that the standard similarity metrics cannot effectively identify identical products, since similar titles often refer to different products and vice-versa. Other studies employed external data sources (search engines) to enrich the titles; these solutions are rather impractical mainly because the external data fetching is slow. In this paper we introduce UPM, an unsupervised algorithm for matching products by their titles. UPM is independent of any external sources, since it analyzes the titles and extracts combinations of words out of them. These combinations are evaluated according to several criteria, and the most appropriate of them constitutes the cluster where a product is classified into. UPM is also parameter-free, it avoids product pairwise comparisons, and includes a post-processing verification stage which corrects the erroneous matches. The experimental evaluation of UPM demonstrated its superiority against the state-of-the-art approaches in terms of both efficiency and effectiveness.

Published
2019

7. Evidence of 2024 Summer as the Warmest During the Last Four Decades in the Aegean, Ionian, and Cretan Seas.

Author

Androulidakis, Yannis, Kolovoyiannis, Vassilis, Makris, Christos, and Krestenitis, Yannis

Subjects
MARINE heatwaves, ATMOSPHERIC temperature, WATER masses, UPWELLING (Oceanography), HIGH temperatures, OCEAN temperature
Abstract

The summer of 2024 witnessed record-high sea surface temperatures (SST) across the Aegean, Ionian, and Cretan Seas (AICS), following unprecedented air heatwaves over the sea under a long-term warming trend of 0.46 °C/decade for the mean atmospheric temperature (1982–2024). The respective mean SST trend for the same period is even steeper, increasing by 0.59 °C/decade. With mean summer surface waters surpassing 28 °C, particularly in the Ionian Sea, the southern Cretan, and northern Aegean basins, this summer marked the warmest ocean conditions over the past four decades. Despite a relatively lower number of marine heatwaves (MHWs) compared to previous warm years, the duration and cumulative intensity of these events in 2024 were the highest on record, reaching nearly twice the levels seen in 2018, which was the warmest until now. Intense MHWs were recorded, especially in the northern Aegean, with extensive biological consequences to ecosystems like the Thermaikos Gulf, a recognized MHW hotspot. The strong downward atmospheric heat fluxes in the summer of 2024, following an interannual increasing four-decade trend, contributed to the extreme warming of the water masses together with other met-ocean conditions such as lateral exchanges and vertical processes. The high temperatures were not limited to the surface but extended to depths of 50 m in some regions, indicating a deep and widespread warming of the upper ocean. Mechanisms typically mitigating SST rises, such as the Black Sea water (BSW) inflow and coastal upwelling over the eastern Aegean Sea, were weaker in 2024. Cooler water influx from the BSW decreased, as indicated by satellite-derived chlorophyll-a concentrations, while upwelled waters from depths of 40 to 80 m at certain areas showed elevated temperatures, likely limiting their cooling effects on the surface. Prolonged warming of ocean waters in a semi-enclosed basin such as the Mediterranean and its marginal sea sub-basins can have substantial physical, biological, and socioeconomic impacts on the AICS. This research highlights the urgent need for targeted monitoring and mitigation strategies to address the growing impact of MHWs in the region. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Movie Recommendation System Based on Character Graph Embeddings

Author

Kounelis, Agisilaos, Vikatos, Pantelis, Makris, Christos, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Maglogiannis, Ilias, editor, Macintyre, John, editor, and Iliadis, Lazaros, editor

Published
2021
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10. Oceanographic Research in the Thermaikos Gulf: A Review over Five Decades

Author

Androulidakis, Yannis, primary, Makris, Christos, additional, Kombiadou, Katerina, additional, Krestenitis, Yannis, additional, Stefanidou, Natassa, additional, Antoniadou, Chryssanthi, additional, Krasakopoulou, Evangelia, additional, Kalatzi, Maria-Ignatia, additional, Baltikas, Vasilis, additional, Moustaka-Gouni, Maria, additional, and Chintiroglou, Chariton Charles, additional

Published
2024
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11. Improving Movie Recommendation Systems Filtering by Exploiting User-Based Reviews and Movie Synopses

Author

Iliopoulou, Konstantina, Kanavos, Andreas, Ilias, Aristidis, Makris, Christos, Vonitsanos, Gerasimos, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Maglogiannis, Ilias, editor, Iliadis, Lazaros, editor, and Pimenidis, Elias, editor

Published
2020
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12. A Graph-Based Extension for the Set-Based Model Implementing Algorithms Based on Important Nodes

Author

Kalogeropoulos, Nikitas-Rigas, Doukas, Ioannis, Makris, Christos, Kanavos, Andreas, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Maglogiannis, Ilias, editor, Iliadis, Lazaros, editor, and Pimenidis, Elias, editor

Published
2020
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13. A Sentiment-Based Hotel Review Summarization Using Machine Learning Techniques

Author

Bompotas, Agorakis, Ilias, Aristidis, Kanavos, Andreas, Makris, Christos, Rompolas, Gerasimos, Savvopoulos, Alkiviadis, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Maglogiannis, Ilias, editor, Iliadis, Lazaros, editor, and Pimenidis, Elias, editor

Published
2020
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15. On converting community detection algorithms for fuzzy graphs in Neo4j

Author

Drakopoulos, Georgios, Kanavos, Andreas, Makris, Christos, and Megalooikonomou, Vasileios

Subjects
Computer Science - Social and Information Networks
Abstract

An essential feature of large scale free graphs, such as the Web, protein-to-protein interaction, brain connectivity, and social media graphs, is that they tend to form recursive communities. The latter are densely connected vertex clusters exhibiting quick local information dissemination and processing. Under the fuzzy graph model vertices are fixed while each edge exists with a given probability according to a membership function. This paper presents Fuzzy Walktrap and Fuzzy Newman-Girvan, fuzzy versions of two established community discovery algorithms. The proposed algorithms have been applied to a synthetic graph generated by the Kronecker model with different termination criteria and the results are discussed., Comment: Certain errors in the algorithms must be corrected

Published
2016

16. The Storage And Analytics Potential Of HBase Over The Cloud: A Survey

Author

Drakopoulos, Georgios, Kanavos, Andreas, Makris, Christos, and Megalooikonomou, Vasileios

Subjects
Computer Science - Databases
Abstract

Apache HBase, a mainstay of the emerging Hadoop ecosystem, is a NoSQL key-value and column family hybrid database which, unlike a traditional RDBMS, is intentionally designed to scalably host large, semistructured, and heterogeneous data. Prime examples of such data are biosignals which are characterized by large volume, high volatility, and inherent multidimensionality. This paper reviews how biomedical engineering has recently taken advantage of HBase, with an emphasis over cloud, in order to reliably host cardiovascular and respiratory time series. Moreover, the deployment of offline biomedical analytics over HBase is explored., Comment: We need to correct some errors in our initial assumptions

Published
2016

17. Large Graph Models: A Review

Author

Drakopoulos, Georgios, Kontopoulos, Stavros, Makris, Christos, and Megalooikonomou, Vasileios

Subjects
Computer Science - Social and Information Networks, Physics - Physics and Society
Abstract

Large graphs can be found in a wide array of scientific fields ranging from sociology and biology to scientometrics and computer science. Their analysis is by no means a trivial task due to their sheer size and complex structure. Such structure encompasses features so diverse as diameter shrinking, power law degree distribution and self similarity, edge interdependence, and communities. When the adjacency matrix of a graph is considered, then new, spectral properties arise such as primary eigenvalue component decay function, eigenvalue decay function, eigenvalue sign alternation around zero, and spectral gap. Graph mining is the scientific field which attempts to extract information and knowledge from graphs through their structural and spectral properties. Graph modeling is the associated field of generating synthetic graphs with properties similar to those of real graphs in order to simulate the latter. Such simulations may be desirable because of privacy concerns, cost, or lack of access to real data. Pivotal to simulation are low- and high-level software packages offering graph analysis and visualization capabilities. This survey outlines the most important structural and spectral graph properties, a considerable number of graph models, as well the most common graph mining and graph learning tools., Comment: We believe we have identified errors in equations (5), (10), (24), and (36) and we would like to remove this preprint

Published
2016

23. Pre-processing Framework for Twitter Sentiment Classification

Author

Dritsas, Elias, Vonitsanos, Gerasimos, Livieris, Ioannis E., Kanavos, Andreas, Ilias, Aristidis, Makris, Christos, Tsakalidis, Athanasios, Rannenberg, Kai, Editor-in-Chief, Sakarovitch, Jacques, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Pras, Aiko, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Furbach, Ulrich, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, MacIntyre, John, editor, Maglogiannis, Ilias, editor, Iliadis, Lazaros, editor, and Pimenidis, Elias, editor

Published
2019
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24. Distributed Community Prediction for Social Graphs Based on Louvain Algorithm

Author

Makris, Christos, Pettas, Dionisios, Pispirigos, Georgios, Rannenberg, Kai, Editor-in-Chief, Sakarovitch, Jacques, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Pras, Aiko, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Furbach, Ulrich, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, MacIntyre, John, editor, Maglogiannis, Ilias, editor, Iliadis, Lazaros, editor, and Pimenidis, Elias, editor

Published
2019
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28. Oceanographic Research in Thermaikos Gulf: A Review over Five Decades

Author

Androulidakis, Yannis, primary, Makris, Christos, additional, Kombiadou, Katerina, additional, Krestenitis, Yannis N., additional, Stefanidou, Natassa, additional, Antoniadou, Chryssanthi, additional, Krasakopoulou, Evangelia, additional, Kalatzi, Maria-Ignatia, additional, Baltikas, Vasilis, additional, Moustaka-Gouni, Maria, additional, and Chintiroglou, Chariton Charles, additional

Published
2024
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33. Query Disambiguation Based on Clustering Techniques

Author

Kotoula, Panagiota, Makris, Christos, Rannenberg, Kai, Editor-in-Chief, Sakarovitch, Jacques, Series Editor, Goedicke, Michael, Series Editor, Tatnall, Arthur, Series Editor, Neuhold, Erich J., Series Editor, Pras, Aiko, Series Editor, Tröltzsch, Fredi, Series Editor, Pries-Heje, Jan, Series Editor, Whitehouse, Diane, Series Editor, Reis, Ricardo, Series Editor, Furnell, Steven, Series Editor, Furbach, Ulrich, Series Editor, Winckler, Marco, Series Editor, Rauterberg, Matthias, Series Editor, Iliadis, Lazaros, editor, Maglogiannis, Ilias, editor, and Plagianakos, Vassilis, editor

Published
2018
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34. Finding Influential Users in Twitter Using Cluster-Based Fusion Methods of Result Lists

Author

Georgiou, Alexandros, Kanavos, Andreas, Makris, Christos, Rannenberg, Kai, Editor-in-Chief, Sakarovitch, Jacques, Series Editor, Goedicke, Michael, Series Editor, Tatnall, Arthur, Series Editor, Neuhold, Erich J., Series Editor, Pras, Aiko, Series Editor, Tröltzsch, Fredi, Series Editor, Pries-Heje, Jan, Series Editor, Whitehouse, Diane, Series Editor, Reis, Ricardo, Series Editor, Furnell, Steven, Series Editor, Furbach, Ulrich, Series Editor, Winckler, Marco, Series Editor, Rauterberg, Matthias, Series Editor, Iliadis, Lazaros, editor, Maglogiannis, Ilias, editor, and Plagianakos, Vassilis, editor

Published
2018
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36. Code Quality Evaluation Methodology Using The ISO/IEC 9126 Standard

Author

Kanellopoulos, Yiannis, Antonellis, Panos, Antoniou, Dimitris, Makris, Christos, Theodoridis, Evangelos, Tjortjis, Christos, and Tsirakis, Nikos

Subjects
Computer Science - Software Engineering
Abstract

This work proposes a methodology for source code quality and static behaviour evaluation of a software system, based on the standard ISO/IEC-9126. It uses elements automatically derived from source code enhanced with expert knowledge in the form of quality characteristic rankings, allowing software engineers to assign weights to source code attributes. It is flexible in terms of the set of metrics and source code attributes employed, even in terms of the ISO/IEC-9126 characteristics to be assessed. We applied the methodology to two case studies, involving five open source and one proprietary system. Results demonstrated that the methodology can capture software quality trends and express expert perceptions concerning system quality in a quantitative and systematic manner., Comment: 20 pages, 14 figures

Published
2010
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44. Reciprocal Rank Using Web Page Popularity

Author

Evangelopoulos, Xenophon, Makris, Christos, Plegas, Yannis, Iliadis, Lazaros, editor, Maglogiannis, Ilias, editor, Papadopoulos, Harris, editor, Sioutas, Spyros, editor, and Makris, Christos, editor

Published
2014
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45. Community Detection of Screenplay Characters

Author

Makris, Christos, Vikatos, Pantelis, Rannenberg, Kai, Editor-in-chief, Sakarovitch, Jacques, Series editor, Goedicke, Michael, Series editor, Tatnall, Arthur, Series editor, Neuhold, Erich J., Series editor, Pras, Aiko, Series editor, Tröltzsch, Fredi, Series editor, Pries-Heje, Jan, Series editor, Whitehouse, Diane, Series editor, Reis, Ricardo, Series editor, Furnell, Steven, Series editor, Furbach, Ulrich, Series editor, Gulliksen, Jan, Series editor, Rauterberg, Matthias, Series editor, Iliadis, Lazaros, editor, and Maglogiannis, Ilias, editor

Published
2016
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46. Distributed XML Filtering Using HADOOP Framework

Author

Antonellis, Panagiotis, Makris, Christos, Pispirigos, Georgios, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Karydis, Ioannis, editor, Sioutas, Spyros, editor, Triantafillou, Peter, editor, and Tsoumakos, Dimitrios, editor

Published
2016
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47. Validation and Application of the Accu-Waves Operational Platform for Wave Forecasts at Ports.

Author

Makris, Christos, Papadimitriou, Andreas, Baltikas, Vasilis, Spiliopoulos, Giannis, Kontos, Yiannis, Metallinos, Anastasios, Androulidakis, Yannis, Chondros, Michalis, Klonaris, Georgios, Malliouri, Dimitra, Nagkoulis, Nikolaos, Zissis, Dimitris, Tsoukala, Vasiliki, Karambas, Theophanis, and Memos, Constantine

Subjects
BUOYS, OCEAN circulation, FORECASTING, CONTINENTAL shelf, OCEAN waves, SEVERE storms
Abstract

This paper presents a recently developed Operational Forecast Platform (OFP) for prevailing sea conditions at very important ports worldwide (Accu-Waves). The OFP produces reliable high-resolution predictions of wave characteristics in and around ocean ports. Its goal is to support safer navigation, predict possible port downtime, assist vessel approaching, enhance management of towing services, and bolster secure ship maneuvering in busy ports around the globe. Accu-Waves OFP is based on integrated, high-resolution wave modelling over the continental shelf and in coastal areas that incorporates data from global- and regional-scale, open-sea wave and ocean circulation forecasts as boundary conditions. The coupling, nesting, calibration, and implementation of the models are reported and discussed in this paper, concerning 50 selected areas near and inside significant port basins. The detailed setup of the Accu-Waves OFP and its sub-system services is also provided regarding three-day forecasts at three-hourly intervals. The validation of the wave forecast system against in situ observations from wave buoys in coastal areas of the USA, Belgium, and Spain, as well as other model predictions by established OFPs, seems very promising, with performance skill scores ranging from adequate to very good. An exceptional case of stormy seas under severe marine weather conditions with very high wave maxima (>10 m) in the port of Algeciras is further discussed, confirming the good performance of the Accu-Waves OFP. [ABSTRACT FROM AUTHOR]

Published
2024
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49. Partial Order Preserving Encryption Search Trees

Author

Ispoglou, Kyriakos, Makris, Christos, Stamatiou, Yannis C., Stavropoulos, Elias C., Tsakalidis, Athanasios K., Iosifidis, Vasileios, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Chen, Qiming, editor, Hameurlain, Abdelkader, editor, Toumani, Farouk, editor, Wagner, Roland, editor, and Decker, Hendrik, editor

Published
2015
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