A new data mining methodology for generating new service ideas

Karimi-Majd, Amir-Mohsen; Mahootchi, Masoud

doi:10.1007/s10257-014-0267-y

Cited by 25 publications

(18 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As a good idea for tackling this issue, Karimi-Majd and Mahootchi (2015) proposed a methodology (called KM in this paper) to analyze the special graphs of the attributes (i.e., services and customers' attributes). This kind of graphs would be formed by extracting ARs and clustering them.…”

Section: Related Workmentioning

confidence: 99%

“…Fig. 2 demonstrates an extracted sub-graph of attributes, which is illustrated in (Karimi-Majd & Mahootchi, 2015). In Fig.…”

Section: Related Workmentioning

confidence: 99%

“…Since this sub-graph has been extracted using an optimization procedure, we could individually say about the gaps between the services. Based on the analysis present in Karimi-Majd and Mahootchi (2015), the users of that blogging website have two mainly behavior; a group of them prefer to social interactions who always check friends' posts and another group of them are not willing to communicate with others.…”

Section: Related Workmentioning

confidence: 99%

“…Clustering and Association Rules (AR) mining are two famous methods for this purpose. As another data mining methodology, the researchers (Karimi-Majd & Mahootchi, 2015) claim that behavioral patterns of customers could express their unspoken needs and wants for developing "completely new" services. The idea behind this methodology is to determine how users use services (i.e., their behavioral pattern) and tell us which services they need.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Extracting new ideas from the behavior of social network users

Karimi-Majd¹,

Fathian²

2017

10.5267/j.dsl

Self Cite

View full text Add to dashboard Cite

Online social networks (OSNs) provide services targeting multifarious types of users in order to attract and retain them. For this purpose, developing new services according to user preferences has recently been under focused by various researchers. Most of present studies focus only on extracting the behavioral patterns of users, and neglect users' interactions, which is the main part of the social activities in OSNs. To cope with this issue, this paper proposes a new methodology to bring both dimensions of data, the extracted behavioral patterns of users and their social interactions, in order to reach a better analysis. Moreover, the idea provides a basis for considering other dimensions efficiently. In order to evaluate the performance of the methodology, this paper performs a case study, and conducts a set of experiments on the computer-generated datasets. The results indicates the great performance of the methodology.Growing Science Ltd. All rights reserved. 7

show abstract

Section: Related Workmentioning

confidence: 99%

“…Fig. 2 demonstrates an extracted sub-graph of attributes, which is illustrated in (Karimi-Majd & Mahootchi, 2015). In Fig.…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Extracting new ideas from the behavior of social network users

Karimi-Majd¹,

Fathian²

2017

10.5267/j.dsl

Self Cite

View full text Add to dashboard Cite

show abstract

“…Since then on, association rule mining not only plays an important role in commercial data analysis but also has a success in finding interesting patterns and associations in many other fields, such as new service opportunity identification [2] and medical data analysis [3].…”

Section: Introductionmentioning

confidence: 99%