Data Technologies and Applications: Volume 54 Issue 2

The discrete Fourier transformation for seasonality and anomaly detection of an application to rare data

Aryana Collins Jackson, Seán Lacey

The discrete Fourier transformation (DFT) has been proven to be a successful method for determining whether a discrete time series is seasonal and, if so, for detecting the…

Retrieval performance of Google, Yahoo and Bing for navigational queries in the field of “life science and biomedicine”

Sumeer Gul, Sabha Ali, Aabid Hussain

The purpose of this study is to assess the retrieval performance of three search engines, i.e. Google, Yahoo and Bing for navigational queries using two important retrieval…

Predicting corporate credit rating based on qualitative information of MD&A transformed using document vectorization techniques

Jinwook Choi, Yongmoo Suh, Namchul Jung

The purpose of this study is to investigate the effectiveness of qualitative information extracted from firm’s annual report in predicting corporate credit rating. Qualitative…

Scholarly publication venue recommender systems: A systematic literature review

Hossein Dehdarirad, Javad Ghazimirsaeid, Ammar Jalalimanesh

The purpose of this investigation is to identify, evaluate, integrate and summarize relevant and qualified papers through conducting a systematic literature review (SLR) on the…

Computational implementation and formalism of FAIR data stewardship principles

Kushal Ajaybhai Anjaria

The progress of life science and social science research is contingent on effective modes of data storage, data sharing and data reproducibility. In the present digital era, data…

Age-specific survival in prostate cancer using machine learning

M.N. Doja, Ishleen Kaur, Tanvir Ahmad

The incidence of prostate cancer is increasing from the past few decades. Various studies have tried to determine the survival of patients, but metastatic prostate cancer is still…

Identifying financial statement fraud with decision rules obtained from Modified Random Forest

Byungdae An, Yongmoo Suh

Financial statement fraud (FSF) committed by companies implies the current status of the companies may not be healthy. As such, it is important to detect FSF, since such companies…