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Pregled bibliografske jedinice broj: 263719

Temporal pattern discovery in consumer behavior with REFII model(2005, September)


Klepac Goran, Kliček Božidar, Mršić Leo
Temporal pattern discovery in consumer behavior with REFII model(2005, September) // Paper presented at the Consumer Personality and Research 2005 Conference, Dubrovnik, Croatia (Abstract available online
Dubrovnik, Hrvatska, 2005. (predavanje, međunarodna recenzija, sažetak, ostalo)


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Naslov
Temporal pattern discovery in consumer behavior with REFII model(2005, September)
(Temporal pattern discovery in consumer behavior with REFII model)

Autori
Klepac Goran, Kliček Božidar, Mršić Leo

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo

Izvornik
Paper presented at the Consumer Personality and Research 2005 Conference, Dubrovnik, Croatia (Abstract available online / - , 2005

Skup
Consumer Personality and Research 2005 Conference, Dubrovnik, Croatia

Mjesto i datum
Dubrovnik, Hrvatska, 09.2005

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
REFII; time series

Sažetak
This paper represents advantages of REFII model of time series data mining in the area of consumer behavior. REF II model is based on the matrix of time series data transformation consisted from three elements: curve segment trend mark, curve segment coefficient and area beneath curve segment. REFII model is particularly suitable for combination with other data mining methods (decision trees, association rules, Bayesian networks, cluster analysis). The advantage of REFII model is illustrated on empirical data taken from textile related point-of-sale spots with the purpose of finding consumer behavior and category patterns, seasonal fluctuations and future sales projections. Complex nature of textile products and consumer influences over time, aggravate that prediction accuracy. Seasonal oscillation, day of week influence, specific month period represents simple segmentation points which pointed out useful patterns. Analysis area include sales data, statistical weather and household data in order to improve in-store supply quality together with better understanding of customer personality and specific characteristics of consumer behavior related to textile products. Crucial importance was included in time dimension. Supply and demand of textile products are very sensitive over time and dependent on many social and cultural changes. It is possible to identify related products from specific textile categories suitable for further cross-selling and market basket analysis, and to define marketing base for customer card initiation. Result received from this analysis gives significant moment for improving traditional business practice and offer different point of view on many specific occasions. Interdependence of observing textile categories and weather influence implications presents very useful decision making point for further references.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
0067016

Ustanove:
Ekonomski fakultet, Zagreb

Citiraj ovu publikaciju:

Klepac Goran, Kliček Božidar, Mršić Leo
Temporal pattern discovery in consumer behavior with REFII model(2005, September) // Paper presented at the Consumer Personality and Research 2005 Conference, Dubrovnik, Croatia (Abstract available online
Dubrovnik, Hrvatska, 2005. (predavanje, međunarodna recenzija, sažetak, ostalo)
Klepac Goran, Kliček Božidar, Mršić Leo (2005) Temporal pattern discovery in consumer behavior with REFII model(2005, September). U: Paper presented at the Consumer Personality and Research 2005 Conference, Dubrovnik, Croatia (Abstract available online.
@article{article, year = {2005}, keywords = {REFII, time series}, title = {Temporal pattern discovery in consumer behavior with REFII model(2005, September)}, keyword = {REFII, time series}, publisherplace = {Dubrovnik, Hrvatska} }
@article{article, year = {2005}, keywords = {REFII, time series}, title = {Temporal pattern discovery in consumer behavior with REFII model}, keyword = {REFII, time series}, publisherplace = {Dubrovnik, Hrvatska} }




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