به نام خدا
Title: Automatic Abstract Service Generation from Web Service Communities
Authors: Xumin Liu,Hua Liu
Abstract: The concept of abstract services has been widelyadopted in service computing to specify the functionality ofcertain types of Web services. It significantly benefits keyservice management tasks, such as service discovery andcomposition, as these tasks can be first applied to a smallnumber of abstract services and then mapped to the large scaleactual services. However, how to generate abstract services isnon-trivial. Current approaches either assume the existenceof abstract services or adopt a manual process that demandsintensive human intervention. We propose a novel approach tofully automate the generation of abstract services from a servicecommunity that consists of a set of functionally similar services.A set of candidate outputs are first discovered based on prede-fined support ratio, which determines the minimum number ofservices that produce the outputs. Then, the matching inputsare identified to form the abstract services. We propose a setof heuristics to effectively prune a large number of candidateabstract services. An comprehensive experimental study onreal world web service data is conducted to demonstrate theeffectiveness and efficiency of the proposed approach.
Publish Year: 2012
Publisher: ICWS - IEEE
Number of Pages: 8
موضوع: کاربرد وب سرویسها
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرنیان
به نام خدا
Title: Tracking On-line Radicalization Using Investigative Data Mining
Authors: Pooja Wadhwa, MPS Bhatia
Abstract: The increasing complexity and emergence of Web 2.0 applications have paved way for threats arising out of the use of social networks by cyber extremists (Radical groups). Radicalization (also called cyber extremism and cyber hate propaganda) is a growing concern to the society and also of great pertinence to governments & law enforcement agencies all across the world. Further, the dynamism of these groups adds another level of complexity in the domain, as with time, one may witness a change in members of the group and hence has motivated many researchers towards this field. This proposal presents an investigative data mining approach for detecting the dynamic behavior of these radical groups in online social networks by textual analysis of the messages posted by the members of these groups along with the application of techniques used in social network analysis. Some of the preliminary results obtained through partial implementation of the approach are also discussed.
Publish Year: 2013
Published in: NCC - IEEE
Number of Pages: 5
موضوع: کاربردهای داده کاوی
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Query-Specific Visual Semantic Spaces for Web Image Re-ranking
Authors: Xiaogang Wang,Ke Liu,Xiaoou Tang,
Abstract: Image re-ranking, as an effective way to improve the re-sults of web-based image search, has been adopted by cur-rent commercial search engines. Given a query keyword, apool of images are first retrieved by the search engine basedon textual information. By asking the user to select a queryimage from the pool, the remaining images are re-rankedbased on their visual similarities with the query image. Amajor challenge is that the similarities of visual features donot well correlate with images_ semantic meanings whichinterpret users_ search intention. On the other hand, learn-ing a universal visual semantic space to characterize highlydiverse images from the web is difficult and inefficient.In this paper, we propose a novel image re-rankingframework, which automatically offline learns different vi-sual semantic spaces for different query keywords throughkeyword expansions. The visual features of images are pro-jected into their related visual semantic spaces to get se-mantic signatures. At the online stage, images are re-rankedby comparing their semantic signatures obtained from thevisual semantic space specified by the query keyword. Thenew approach significantly improves both the accuracy andefficiency of image re-ranking. The original visual featuresof thousands of dimensions can be projected to the seman-tic signatures as short as 25 dimensions. Experimental re-sults show that 20% - 35% relative improvement has beenachieved on re-ranking precisions compared with the state-of-the-art methods.
Publish Year: 2011
Published in: CVPR - IEEE
Number of Pages: 8
موضوع: وب معنایی
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Accelerating Pollard’s Rho Algorithm on Finite Fields
Authors: Jung Hee Cheon, Jin Hong , and Minkyu Kim
Abstract: Most generic and memory efficient algorithms for solving the discrete logarithm problem construct a certain random graph consisting of group element nodes and return the solution when a collision is found among the graph nodes. In this work, we develop a technique for traveling through the random graph with- out fully computing each node and also provide an extension to the distinguished point collision detection method that is suitable for this new situation. Concrete constructions of this technique for multiplicative subgroups of the finite fields are given. Our implementations confirm that the proposed technique provides practical speedup over existing algorithms.
Publish Year: 2012
Publisher: Journal of Cryptography - Journal of Springer
Number of Pages: 48
موضوع: میدانهای متناهی، جبر مجرد، رمزنگاری
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Bricolage: Example-Based Retargeting for Web Design
Authors: Ranjitha Kumar Jerry O Talton Salman Ahmad Scott R Klemmer
Abstract: The Web provides a corpus of design examples unparalleled in human history. However, leveraging existing designs to produce new pages is often difficult. This paper introduces the Bricolage algorithm for transferring design and content between Web pages. Bricolage employs a novel, structured-prediction technique that learns to create coherent mappings between pages by training on human-generated exemplars. The produced mappings are then used to automatically transfer the content from one page into the style and layout of an-other. We show that Bricolage can learn to accurately repro-duce human page mappings, and that it provides a general, efficient, and automatic technique for retargeting content between a variety of real Web pages.
Publish Year: 2011
Publisher: CHI - ACM
Number of Pages: 20
موضوع: طراحی صفحات وب
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان