Search results for "segmentointi"
showing 10 items of 20 documents
Massadatan käyttö asiakasanalytiikassa : case Jyväskylän Energia
2017
Massadata on suuresti puhuttava lisäarvon luomisen lähde niin tieteellisille yhteisöille kuin yrityksillekin. Massadatan käsite elää kehittyvän teknologian mukana, mutta tavallisimmillaan sitä voi kuvata suurena määränä dataa, joka on monimuotoista ja kasvaa suurella nopeudella. Massadata mahdollistaa paljon liiketoiminnassa hyödynnettävässä analytiikassa, kuten liiketoimintatiedon hallinnan ja analytiikan prosesseissa sekä asiakasanalytiikassa. Asiakasanalytiikassa massadata mahdollistaa syvällisemmän asiakasymmärryksen saavuttamisen datasta ja sen hyödyntämisen asiakassuhdehallinnasta aina merkityksellisemmän asiakassegmentoinnin tekemiseen. Tutkimuksessa käsitellään ensin massadataa sen …
Identifying relevant segments of AI applications adopters : Expanding the UTAUT2’s variables
2021
Artificial intelligence (AI) is a future-defining technology, and AI applications are becoming mainstream in the developed world. Many consumers are adopting and using AI-based apps, devices, and services in their everyday lives. However, research examining consumer behavior in using AI apps is scant. We examine critical factors in AI app adoption by extending and validating a well-established unified theory of adoption and use of technology, UTAUT2. We also explore the possibility of unobserved heterogeneity in consumers’ behavior, including potentially relevant segments of AI app adopters. To augment the knowledge of end users’ engagement and relevant segments, we have added two new antec…
Multilabel segmentation of cancer cell culture on vascular structures with deep neural networks
2020
New increasingly complex in vitro cancer cell models are being developed. These new models seem to represent the cell behavior in vivo more accurately and have better physiological relevance than prior models. An efficient testing method for selecting the most optimal drug treatment does not exist to date. One proposed solution to the problem involves isolation of cancer cells from the patients' cancer tissue, after which they are exposed to potential drugs alone or in combinations to find the most optimal medication. To achieve this goal, methods that can efficiently quantify and analyze changes in tested cell are needed. Our study aimed to detect and segment cells and structures from canc…
Smartphone Usage Among Millennial in Finland and Implications for Marketing Segmentation Strategies: Lessons for Nigeria
2018
The study examines smart phone usage by millennials based on different criteria of operating system, Wi-Fi, text messaging, internet surfing and social media. The study used quantitative methodology and data were gathered with online questionnaires with 391 young smartphone users in Finland. The Millennial were clustered into five levels. The results reveal the prominent status of profiling in a developed market and how marketers in emerging markets can apply segmentation and targeting strategies using instant messaging, text messages, email, mobile app, gamification and social media based on the profile of each segment. Nigerian policy makers should adopt a framework to make smartphone aff…
Modelling and prediction of perceptual segmentation
2017
While listening to music, we somehow make sense of a multiplicity of auditory events; for example, in popular music we are often able to recognize whether the current section is a verse or a chorus, and to identify the boundaries between these segments. This organization occurs at multiple levels, since we can discern motifs, phrases, sections and other groupings. In this work, we understand segment boundaries as instants of significant change. Several studies on music perception and cognition have strived to understand what types of changes are associated with perceptual structure. However, effects of musical training, possible differences between real-time and non real-time segmentation, and…
How can algorithms help in segmenting users and customers? : A systematic review and research agenda for algorithmic customer segmentation
2023
What algorithm to choose for customer segmentation? Should you use one algorithm or many? How many customer segments should you create? How to evaluate the results? In this research, we carry out a systematic literature review to address such central questions in customer segmentation research and practice. The results from extracting information from 172 relevant articles show that algorithmic customer segmentation is the predominant approach for customer segmentation. We found researchers employing 46 different algorithms and 14 different evaluation metrics. For the algorithms, K-means clustering is the most employed. For the metrics, separation-focused metrics are slightly more prevalent…
Segmentation boundaries in accelerometer data of arm motion induced by music : online computation and perceptual assessment
2022
Segmentation is a cognitive process involved in the understanding of information perceived through the senses. Likewise, the automatic segmentation of data captured by sensors may be used for the identification of patterns. This study is concerned with the segmentation of dancing motion captured by accelerometry and its possible applications, such as pattern learning and recognition, or gestural control of devices. To that effect, an automatic segmentation system was formulated and tested. Two participants were asked to ‘dance with one arm’ while their motion was measured by an accelerometer. The performances were recorded on video, and manually segmented by six annotators later. The annota…
Voimistuneen kuntoliikunnan tarkastelua markkinatutkimuksen segmenteissä : jyväskyläläiset kilpa- ja kuntourheilijat KIHUn näkökulmasta
2015
Tutkielman tarkoituksena on kuvata jyväskyläläisten kunto- ja kilpaurheilijoita ja heidän liikuntasuhdettaan Kilpa- ja huippu-urheilun tutkimuskeskukselle (KIHU) tehdyn markkinatutkimuksen segmenteissä. Kunto- ja kilpaurheilu ovat osa laajempaa liikunnan käsitettä, jossa niiden luokittelu perustuu toiminnan aktiivisuuden ja vapaaehtoisuuden asteeseen. Tutkimus on kvantitatiivinen ja aineistolähtöinen. Liikuntasuhteesta tarkastellaan omakohtaista liikuntaa sekä sportisointia eli liikunnan kokonaisvaltaista kulutusta, jonka yhtenä ilmentymänä nähdään ns. kuntoilubuumi. Aineisto (N=1251) koostuu Huippututkimusyksikkö -hankkeeseen kerätystä markkinatutkimuksesta ja sitä on analysoitu määrällise…
What makes segmentation good? A case study in boreal forest habitat mapping
2013
Segmentation goodness evaluation is a set of approaches meant for deciding which segmentation is good. In this study, we tested different supervised segmentation evaluation measures and visual interpretation in the case of boreal forest habitat mapping in Southern Finland. The data used were WorldView-2 satellite imagery, a lidar digital elevation model (DEM), and a canopy height model (CHM) in 2 m resolution. The segmentation methods tested were the fractal net evolution approach (FNEA) and IDRISI watershed segmentation. Overall, 252 different segmentation methods, layers, and parameter combinations were tested. We also used eight different habitat delineations as reference polygons agains…
Editorial for the Special Issue “Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions”
2019
This Special Issue hosts papers on the integrated use of spectral imaging and 3D technologies in remote sensing, including novel sensors, evolving machine learning technologies for data analysis, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multimodal data was used in object analysis.