DATA MINING REQUIREMENTS FOR CUSTOMIZED GOODS AND SERVICES

2006 ◽  
Vol 05 (04) ◽  
pp. 683-698 ◽  
Author(s):  
JAMES M. TIEN
Keyword(s):  
Data Mining ◽  
Real Time ◽  
Mass Customization ◽  
Time Management ◽  
Supply And Demand ◽  
Research Area ◽  
Research Perspective ◽  
Goods And Services ◽  
Demand Chain ◽  
The Individual

Customized goods and services occur when their respective supply and demand chains are managed in a simultaneous and real-time manner. From a research perspective, we classify the methods that are employed in the management of these chains, based on whether supply and/or demand are flexible or fixed. Interestingly, our classification scheme highlights a critical and rewarding research area at which both supply and demand are flexible, thus manageable. Simultaneous management of supply and demand chains sets the stage for mass customization which is concerned with meeting the needs of an individualized customer market. Simultaneous and real-time management of supply and demand chains, in turn, set the stage for real-time mass customization (e.g. wherein a tailor first laser scans an individual's upper torso and then delivers a uniquely fitted jacket within a reasonable period, while the individual is waiting). The benefits of real-time mass customization cannot be over-stated as products and services become indistinguishable and are co-produced in real-time, resulting in an overwhelming economic advantage. Customized goods and services can only be achieved through sophisticated data mining techniques that can define the customization requirements from both a supply and a demand chain perspective, techniques that can obtain pertinent information from the mass of non-homogeneous data, in order to make informed customization decisions.

Study on Cloud-Based Service Platform for Mass Customization

2012 ◽  
Vol 479-481 ◽  
pp. 98-101 ◽  
Author(s):  
Jun Hua Che ◽  
Qian Zeng ◽  
Shu You Zhang
Keyword(s):  
Mass Customization ◽  
High Efficiency ◽  
Low Cost ◽  
Supply And Demand ◽  
Service Platform ◽  
The Core ◽  
Platform Architecture ◽  
Core Technology ◽  
The Individual ◽  
Core Capabilities

The core capabilities are to provide full product space for customers with the low cost and high efficiency in customized manufacturers, and ultimately to meet the individual demand of customers. This paper proposes cloud-based service platform for mass customization by the advantages of cloud computing, in order to effectively achieve the company's core capabilities and integration of resources and meet the supply and demand between the fluctuations in orders and the long-lasting manufacturing capabilities. This paper mainly studies the service platform architecture and the core technology to improve the service capacity of mass customization business through the integration of resources, demand integration and optimal configuration.

How Managers Perceive Real-Time Management: Thinking Fast & Flow

2018 ◽  
Vol 61 (2) ◽  
pp. 155-177
Author(s):  
Pernille Rydén ◽  
Omar A. El Sawy
Keyword(s):  
Real Time ◽  
Time Management ◽  
Business Value ◽  
Business Practices ◽  
Digital Platforms ◽  
New Era ◽  
Goods And Services ◽  
Disruptive Technologies ◽  
Fast Flow ◽  
Management Thinking

A new era of disruptive technologies and changing business practices is moving a number of industries toward the “real-time” enterprise. With the increased capabilities of online digital platforms, managers need to deliver goods and services faster and respond rapidly to customers. It is therefore critical to ask what “real time” means to managers, what real-time management entails, and learn how enterprises capture business value through real-time management, especially when the ability to adjust and operate in real time must be ingrained in an organization’s culture, structures, and processes. This article shows that managers who use “real time” in different ways can articulate different facets of experience and practices, leading to the “Fast & Flow” framework. Thinking of real time as “Fast & Flow” provides managers with insights for transitioning to real-time management that is better attuned to the organization, the market, and a technology-driven state of flux.

scholarly journals Privacy Preserving Data Mining using Attribute Encryption and Data Perturbation

2013 ◽  
Vol 6 (3) ◽  
pp. 370-378
Author(s):  
Meenakshi Vishnoi ◽  
Seeja K. R
Keyword(s):  
Data Mining ◽  
Personal Information ◽  
Original Data ◽  
Research Area ◽  
Privacy Preserving ◽  
Data Mining Technique ◽  
Privacy Preserving Data Mining ◽  
Mining Technique ◽  
Active Research ◽  
The Individual

Data mining is a very active research area that deals with the extraction of  knowledge from very large databases. Data mining has made knowledge extraction and decision making easy. The extracted knowledge could reveal the personal information , if the data contains various private and sensitive attributes about an individual. This poses a threat to the personal information as there is a possibility of misusing the information behind the scenes without the knowledge of the individual. So, privacy becomes a great concern for the data owners and the organizations  as none of the organizations would like to share their data. To solve this problem Privacy Preserving Data Mining technique have emerged and also solved problems of various domains as it provides the benefit of data mining without compromising the privacy of an individual. This paper proposes a privacy preserving data mining technique the uses randomized perturbation and cryptographic technique. The performance evaluation of the proposed technique shows the same result with the modified data and the original data.

Survey of Data Mining Techniques Used for Real Time Churn Prediction

2017 ◽  
Vol 7 (3) ◽  
pp. 219-222 ◽  
Author(s):  
Jean Claude Turiho ◽  
◽  
Wilson Cheruiyot ◽  
Anne Kibe ◽  
Irénée Mungwarakarama ◽  
...  
Keyword(s):  
Data Mining ◽  
Real Time ◽  
Churn Prediction ◽  
Data Mining Techniques

scholarly journals Adaptive Real-Time Routing Protocol for (m,k)-Firm in Industrial Wireless Multimedia Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1633 ◽  
Author(s):  
Beom-Su Kim ◽  
Sangdae Kim ◽  
Kyong Hoon Kim ◽  
Tae-Eung Sung ◽  
Babar Shah ◽  
...  
Keyword(s):  
Real Time ◽  
Routing Protocol ◽  
Traffic Management ◽  
Research Area ◽  
Multimedia Data ◽  
Wireless Multimedia ◽  
Multimedia Sensor Networks ◽  
Proposed Model ◽  
Event Information ◽  
Firm Model

Many applications are able to obtain enriched information by employing a wireless multimedia sensor network (WMSN) in industrial environments, which consists of nodes that are capable of processing multimedia data. However, as many aspects of WMSNs still need to be refined, this remains a potential research area. An efficient application needs the ability to capture and store the latest information about an object or event, which requires real-time multimedia data to be delivered to the sink timely. Motivated to achieve this goal, we developed a new adaptive QoS routing protocol based on the (m,k)-firm model. The proposed model processes captured information by employing a multimedia stream in the (m,k)-firm format. In addition, the model includes a new adaptive real-time protocol and traffic handling scheme to transmit event information by selecting the next hop according to the flow status as well as the requirement of the (m,k)-firm model. Different from the previous approach, two level adjustment in routing protocol and traffic management are able to increase the number of successful packets within the deadline as well as path setup schemes along the previous route is able to reduce the packet loss until a new path is established. Our simulation results demonstrate that the proposed schemes are able to improve the stream dynamic success ratio and network lifetime compared to previous work by meeting the requirement of the (m,k)-firm model regardless of the amount of traffic.

scholarly journals An Adaptive Scheduler for Real-Time Operating Systems to Extend WSN Nodes Lifetime

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Roberto Rodriguez-Zurrunero ◽  
Ramiro Utrilla ◽  
Elena Romero ◽  
Alvaro Araujo
Keyword(s):  
Operating System ◽  
Real Time ◽  
Operating Systems ◽  
Research Area ◽  
Rechargeable Batteries ◽  
Wireless Sensor ◽  
Portable Devices ◽  
Wireless Devices ◽  
Changing Environments ◽  
Tasks Scheduling

Wireless Sensor Networks (WSNs) are a growing research area as a large of number portable devices are being developed. This fact makes operating systems (OS) useful to homogenize the development of these devices, to reduce design times, and to provide tools for developing complex applications. This work presents an operating system scheduler for resource-constraint wireless devices, which adapts the tasks scheduling in changing environments. The proposed adaptive scheduler allows dynamically delaying the execution of low priority tasks while maintaining real-time capabilities on high priority ones. Therefore, the scheduler is useful in nodes with rechargeable batteries, as it reduces its energy consumption when battery level is low, by delaying the least critical tasks. The adaptive scheduler has been implemented and tested in real nodes, and the results show that the nodes lifetime could be increased up to 70% in some scenarios at the expense of increasing latency of low priority tasks.

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