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Lijun Duan and Hao Tian
With the increasing application of web services in varying fields, the demand of effective Web service discovery approaches is becoming unprecedentedly strong. To improve the performance of service discovery, this paper proposes a collaborative Web servi...
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C. José García Martín, Begoña Herrero Piqueras, Ana María Ibañez Escribano
Pág. pp. 233 - 263
This study investigates the informational role of thin options markets, specifically the Spanish options market. Firstly, we examine the effect of options markets by analysing stock market reaction to earnings news, conditional on the availability of opt...
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Maria Ganopoulou, Efstratios Kontopoulos, Konstantinos Fokianos, Dimitris Koparanis, Lefteris Angelis, Ioannis Kotsianidis and Theodoros Moysiadis
Questionnaires on health-related quality of life (HRQoL) play a crucial role in managing patients by revealing insights into physical, psychological, lifestyle, and social factors affecting well-being. A methodological aspect that has not been adequately...
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Miltiadis Iatrou, Miltiadis Tziouvalekas, Alexandros Tsitouras, Elefterios Evangelou, Christos Noulas, Dimitrios Vlachostergios, Vassilis Aschonitis, George Arampatzis, Irene Metaxa, Christos Karydas and Panagiotis Tziachris
Storm ?Daniel? caused the most severe flood phenomenon that Greece has ever experienced, with thousands of hectares of farmland submerged for days. This led to sediment deposition in the inundated areas, which significantly altered the chemical propertie...
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Fawad Ali Mangi, Guoxin Su and Minjie Zhang
The study of business process analysis and optimisation has attracted significant scholarly interest in the recent past, due to its integral role in boosting organisational performance. A specific area of focus within this broader research field is proce...
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Subrat Kumar Bhattamisra, Priyanka Banerjee, Pratibha Gupta, Jayashree Mayuren, Susmita Patra and Mayuren Candasamy
Artificial intelligence (AI) is a branch of computer science that allows machines to work efficiently, can analyze complex data. The research focused on AI has increased tremendously, and its role in healthcare service and research is emerging at a great...
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Antonio Lopez-Martinez-Carrasco, Jose M. Juarez, Manuel Campos and Bernardo Canovas-Segura
Subgroup Discovery (SD) is a supervised data mining technique for identifying a set of relations (subgroups) among attributes from a dataset with respect to a target attribute. Two key components of this technique are (i) the metric used to quantify a su...
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Ratnesh Kumar Sharma, Gnana Bharathy, Faezeh Karimi, Anil V. Mishra and Mukesh Prasad
This literature review explores the existing work and practices in applying thematic analysis natural language processing techniques to financial data in cloud environments. This work aims to improve two of the five Vs of the big data system. We used the...
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Liubov O. Elkhovskaya, Alexander D. Kshenin, Marina A. Balakhontceva, Mikhail V. Ionov and Sergey V. Kovalchuk
Within process mining, discovery techniques make it possible to construct business process models automatically from event logs. However, results often do not achieve a balance between model complexity and fitting accuracy, establishing a need for manual...
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Kanza Gulzar, Muhammad Ayoob Memon, Syed Muhammad Mohsin, Sheraz Aslam, Syed Muhammad Abrar Akber and Muhammad Asghar Nadeem
In the public health sector and the field of medicine, the popularity of data mining and its usage in knowledge discovery and databases (KDD) are rising. The growing popularity of data mining has discovered innovative healthcare links to support decision...
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Volker Mohler, Edyta Paczos-Grzeda and Sylwia Sowa
Cereal production is of strategic importance to the world economy. Although the primary aim of breeding programs is to develop cultivars with improved agronomic performance, including high grain yield and grain quality, as well as disease and lodging res...
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Weizhen Guo, Min Zhu, Bo Yang, Yanbo Wu and Xinguo Li
Underwater wireless sensor networks (UWSNs) are significantly different from terrestrial sensor networks in the following aspects: low bandwidth, high latency, variable topology, limited battery, low processing power and so on. These new features pose ma...
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Osiris Juárez, Salvador Godoy-Calderon and Hiram Calvo
This work proposes a working set of rules for translating English sentences into the formal language of non-axiomatic logic (NAL). The proposed translation takes advantage of several linguistic tools for pre-processing and can be used for commonsense rea...
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Zehan Chen, Yuliang Lu, Kailong Zhu, Lu Yu and Jiazhen Zhao
Fuzzing is one of the most successful software testing techniques used to discover vulnerabilities in programs. Without seeds that fit the input format, existing runtime dependency recognition strategies are limited by incompleteness and high overhead. I...
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Xinglu He, Pengfei Wang, Kai Lu and Xu Zhou
A multi-priority scheduling path exploration technology based on abstract syntax tree analysis.
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Ping Wang, Xingdong Deng, Yang Liu, Liang Guo, Jun Zhu, Lin Fu, Yakun Xie, Weilian Li and Jianbo Lai
Landslide monitoring plays an important role in predicting, forecasting and preventing landslides. Quantitative explorations at the subject level and fine-scale knowledge in landslide monitoring research can be used to provide information and references ...
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Thomas James Tiam-Lee, Rui Henriques and Vasco Manquinho
Emergency medical services (EMS) around the world face the challenging task of allocating resources to efficiently respond to medical emergencies within a geographical area. While several studies have been done to improve various aspects of EMS, such as ...
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Alessio Bottrighi, Marco Guazzone, Giorgio Leonardi, Stefania Montani, Manuel Striani and Paolo Terenziani
The traces of process executions are a strategic source of information, from which a model of the process can be mined. In our recent work, we have proposed SIM (semantic interactive miner), an innovative process mining tool to discover the process model...
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Kerelous Waghen and Mohamed-Salah Ouali
This paper develops a data-driven fault tree methodology that addresses the problem of the fault prognosis of an aging system based on an interpretable time causality analysis model. The model merges the concepts of knowledge discovery in the dataset and...
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Gurdal Ertek, Aysha Al-Kaabi and Aktham Issa Maghyereh
This study analyzes binary option investment strategies by developing mathematical formalism and formulating analytical models. The binary outcome of binary options represents either an increase or a decrease in a parameter, typically an asset or derivat...
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