Incremental feature extraction algorithms are designed to analyze large-scale data streams. Many of them suffer from high computational cost, time complexity, and data dependency, which adversely affects the processing of the data stream. With this motivation, this paper presents a novel incremental feature extraction approach based on the Discrete Cosine Transform (DCT) for the data stream. The proposed approach is separated into initial and sequential phases, and each phase uses a fixed-size windowing technique for processing the current samples. The initial phase is performed only on the first window to construct the initial model as a baseline. In this phase, normalization and DCT are applied to each sample in the window. Subsequently, the efficient feature subset is determined by a particle swarm optimization-based method. With the construction of the initial model, the sequential phase begins. The normalization and DCT processes are likewise applied to each sample. Afterward, the feature subset is selected according to the initial model. Finally, the k-nearest neighbor classifier is employed for classification. The approach is tested on the well-known streaming data sets and compared with state-of-the-art incremental feature extraction algorithms. The experimental studies demonstrate the proposed approach’s success in terms of recognition accuracy and learning time.

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The world population is aging rapidly with the decrease in birth rates and the increase of life expectancy at birth. This situation affects societies in many economic, social and cultural aspects. If services and policies for the elderly population are not developed, in the coming years, It is foreseen that many countries will face problems such as care and social protection systems, pensions, health systems for the increasing elderly population. Turkey is aging rapidly and the proportion of the elderly is increasing. This situation requires policy makers to develop social policies that will reduce costs and ensure active, healthy and aging in place. In this study, it is aimed to evaluate the services for the elderly in Turkey with the aging-inplace approach. In this context, first of all, the concept of aging in place was explained, then information about the services offered to the elderly in Turkey was given and inferences were made to ensure aging in place.

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