Abstract

Rare association rules are the association rules consisting ofrare items. It is difficult to mine rare association rules withthe single minimum support based approaches such as Apri-ori and FP-growth as they suffer fromrare item problem. Inthe literature, efforts has been made to extract rare associa-tion rules with multiple minimum supports. It was observedthat the multiple minimum supports-based approach stillsuffers from performance problems. As a part of proposedwork, we have analyzed the multiple minimum supports-based approach and proposed improved approaches for ex-tracting rare association rules. Experimental results showthat the proposed approaches are efficient

Abstract

Speculative locking (SL) protocols have been proposed inthe literature for improving the performance of read-onlytransactions (ROTs) without correctness and data currencyissues. In these protocols, ROTs carry out speculative ex-ecutions and update transactions (UTs) follow two-phaselocking (2PL). In these protocols, UTs are blocked if theyconflict with ROTs. To reduce blocking of UTs, semantics-based protocol has been proposed in the literature by ex-ploiting the “compensatability” property of ROTs. In thatprotocol compensatable ROTs are processed without block-ing and non-compensatable ROTs are processed by usingsynchronous speculation method. In this paper, we haveproposed a semantics-based speculative locking protocol forROTs in which non-compensatable ROTs are processed withasynchronous speculation method. The simulation resultsshow that the proposed approach improves the performanceof ROTs over other protocols

Abstract

In the pervasive computing era, mobile phones and personaldigital assistants are widely used for data collection. The traditional userinterfaces which are employed for data collection in personal computerenvironments are to be modified appropriately for the mobile environ-ment. Because, it is difficult to display full interface on a single mobilescreen due to the limitation of the mobile phone screen size. Interfacetailoring methods are investigated in the literature for designing user in-terface for mobile screens. In the literature, temporality-based approachis proposed for designing efficient user interface for personal computerenvironment. In this paper, we extend the notion of attribute temporalityto interface tailoring methods and propose an improved user interface de-sign approach for small screens. The analysis on the real-world datasetsshows that the proposed approach can be used for better user interfacedesign for small screens.

Abstract

In the Internet era, the enterprises and companies receive thousands ofresumes from the job seekers. Currently available filtering techniques and searchservices help the recruiters to filter thousands of resumes to few hundred poten-tial ones. Since these filtered resumes are similar to each other, it is difficult toidentify the potential resumes by examining each resume. We are investigatingthe issues related to the development of approaches to improve the performanceof resume selection process. We have extended the notion of special features andproposed an approach to identify resumes with special skill information. In theliterature, the notion of special features have been applied to improve the pro-cess of product selection in E-commerce environment. However, extending thenotion of special features for the development of approach to process resumes isa complex task as resumes contain unformatted text or semi-formatted text. Inthis paper, we have proposed an approach by considering only skills related in-formation of the resumes. The experimental results on the real world data-set ofresumes show that the proposed approach has the potential to improve the processof resume selection.

Abstract

In the literature, speculation-based protocols have been pro-posed to improve the performance of read-only transactions(ROTs) over the existing two-phase locking (2PL) and snap-shot isolation(SI)-based protocols. In this paper, we havecompared the performance of asynchronous speculation-basedprotocol with 2PL and SI-based protocols through analyti-cal and simulation methods. The results show that asyn-chronous speculation-based protocol improves the perfor-mance over 2PL and SI-based protocols.

Abstract

To improve the performance of agricultural education, research efforts are being made to exploit to developan education methodology to impart practical skills to agricultural graduates regarding aforesaid farming situationproblems in an effective and efficient manner. In this paper, we explain the background and the overview of theproposed ICT-based framework to impart applied education to agriculture professionals.

Abstract

Recently, an approach has been proposed in the literatureto extract frequent patterns which occur periodically. Inthis paper, we have proposed an approach to extract rareperiodic-frequent patterns. Normally, the singleminsupbased frequent pattern mining approaches like Apriori andFP-growth suffer from “rare item problem”. That is, at highminsu p, frequent patterns consisting of rare items will bemissed, and at lowminsu p, number of frequent patternsexplode. In the literature, efforts have been made to extractrare frequent patterns under “multiple minimum supportframework”. It was observed that the periodic-frequentpattern mining approach also suffers from the “rare itemproblem”. In this paper, we have extended “multiple mini-mum support framework” to extract rare periodic-frequentpatterns and developed a new algorithm to extract rareperiodic-frequent patterns. Experiment results show thatthe proposed approach is efficient.

Abstract

Information systems receive data through theuser interface forms. Improperly designed user interface formincreases navigational burden which in turn increases data-entry cost and data-entry errors. Research efforts are goingon to investigate the improved methods for user interfacedesign. Normally, context-based approach is followed to designuser interfaces. In this approach, the input attributes aredivided into several contexts based on the functionality anduser interface form is designed for each context. It can beobserved that, in some information systems, some attributesreceive values only during certain time duration. We termthis property as temporality of the attribute. In this paper,we have proposed an approach to exploit the temporality ofattributes for identifying the active-contexts to design improveduser interface. The implementation results on a real systemshow that the proposed method reduces the navigationalburden significantly as compared to the existing context-basedapproach

Abstract

The eSaguTMsystem is an IT-based personalized agro advisory system. In this system, the agricultural experts generate the advice by using the latest information about the crop situation received in the form of both photographs and text. The agricultural expert advice is delivered to each farm on a regular basis (typically once in a week/two weeks depending on the type of crop) from the sowing stage to the harvesting stage to the farmer without farmer asking a question. Since 2004, the eSagu system is being developed by operating on several crops and farms in Andhra Pradesh state of India. It has been found that the agriculture expert can prepare the expert advice in an efficient manner based on the crop photographs and the related information. The impact results show that the expert advices helped the farmers to achieve significant savings in the capital investment and improvement in the yield. Encouraged by the results of eSagu experiment, a country-wide integrated agri-service program is planned by Media Lab Asia to provide expert advice and other agri-related services to Indian farming community. In this paper we briefly explain the development of eSagu system, advantages and future plan.

Abstract

In the E-commerce environment, a customer faces several difficul-ties for selecting the product. The technology like recommendationsystem is being developed to improve the performance of productselection. In this paper, we have investigated the problem of ‘se-lecting a product from group of similar products’ faced by the cus-tomer. For example, when a customer wants to buy a Sony camerathrough E-commerce Web site, the customer has to go through theinformation of several Sony camera models to select the appropri-ate one. In this paper, we have proposed an improved approachto help the customers to select the appropriate product. We haveexploited the fact that every product possesses some specialness,which is exhibited through few special features. The proposed ap-proach identifies the special features and organizes the features ofthe product in an effective manner. We have conducted the experi-ments on three real world data-sets related to Nokia-mobile phones,Sony-cameras and HP-laptops. The results indicate that the pro-posed approach has a potential to improve the performance of theproduct selection.