Detection of seasonal changes in climate data by comparative analysis A case study for Turkey



Detection of Unreliable measurements in long term time series via data mining techniques case in Turkish climate data
Yazıcı, Ceyda; Purutçuoğlu Gazi, Vilda; Yozgatlıgil, Ceylan; İyigün, Cem; Batmaz, İnci (2013-06-28)
Detection of churners in internet games using CRM approach: a case study on pishti plus
Ercan, Pelin; Alpaslan, Ferda Nur; Department of Computer Engineering (2015)
Nowadays, more and more companies start to focus on Customer Relationship Management (CRM) to prevent customer loss. The early detection of future churners is one of the CRM strategies. Since the cost of acquiring new customers is much higher than the cost of retaining the existing ones, it is important to keep existing customers. Churn is an important problem for the game companies as churners impact negatively for potential and existing customers. Data mining can support an individualized and optimized cu...
Detection of Priority Areas for Conservation: A Case Study in the Lesser Caucasus Region
Ozdemirel, Banu Kaya (2014-01-01)
Marxan, a complementarity based area selection software, was used to detect the priority protected areas for the Lesser Caucasus Ecoregion. Six taxonomic groups, endemic and non-endemic highly threatened plants, globally important amphibian and reptiles, butterflies, breeding birds, large mammals, and ecological communities were included in the analysis. Nineteen areas (planning units) were identified as priority protected areas among 336 planning units (UTM grids) of 10 x 10 km. The efficacy of the identif...
Detection of Parkinson's Disease from gait using Neighborhood Representation Local Binary Patterns
Yurdakul, Ogul Can; Subathra, M. S. P.; George, S. Thomas (Elsevier BV, 2020-09-01)
Parkinson's Disease (PD) is a neurodegenerative disease that affects millions of people around the world. Diagnostics tools based on the clinical symptoms have been developed by the scientific community mostly in the last decade. This study proposes a new method of PD detection from gait signals, using artificial neural networks and a novel technique framework called Neighborhood Representation Local Binary Pattern (NR-LBP). Vertical Ground Reaction Force (VGRF) readings are preprocessed and transformed usi...
Detection of urban traffic patterns from Floating Car Data (FCD)
ALTINTAŞI, ORUÇ; Tüydeş Yaman, Hediye; Tuncay, Kağan (Elsevier BV; 2016-09-07)
Real time data collection in traffic engineering is crucial for better traffic corridor control and management. In the literature, many data collection methods have been used such as; magnetic loops, road tube counters, piezo sensors, radars, Bluetooth etc. to estimate the link occupancy, average speed or density of a corridor. More recently, Floating Car Data (FCD) has become another important traffic data source and has an increasing usage due to its lower cost and higher coverage despite its reliability ...
Citation Formats
T. Akal et al., “Detection of seasonal changes in climate data by comparative analysis A case study for Turkey,” 2012, Accessed: 00, 2021. [Online]. Available: