The VLDB journal : the international journal on very large data bases.

This is the first time that SIGMOD is held in Asia and the second time that it is held outside North America. The amazing growth rates of China in both its technology and economy fronts do not alter the image of its capital city, Beijing, being an ancient city whose recorded history stretches back more than 3,000 years. With a landscape dotted with ancient palaces and temples in the midst of modern infrastructure and architecture, Beijing is indeed a good venue for a forum of serious academic and professional exchanges, and an ideal place for meaningful entertainment and cultural immersion on the side.

As in previous two years, SIGMOD 2007 accepted all papers that the Program Committee considered appropriate to accept, with no predefined "quota" based on the duration of the conference or other non-technical factors. The 88 members of the Program Committee were very thorough and dedicated, and accepted only 70 papers out of the 480 submissions giving an acceptance ratio of 14.6% (which is slightly higher than SIGMOD 2006). We adopted the author feedback process started in SIGMOD 2005 and the two-phase review process initiated in SIGMOD 2006. Two reviews were requested for every paper in the first phase and only papers that were deemed interesting by at least one of the two reviewers were considered for an additional review and for follow-up discussions. However, for a small number of papers, the third review was initiated due to the uncertainty shown in the first two reviews. In total, around 60% of the submissions were reviewed in the second phase and the author feedback process was then initiated for papers in which the Program Committee had a divided opinion or explicitly sought for feedback. All submissions were then actively discussed during the 18 days of online discussion. The double-blind reviewing process was further strengthened in SIGMOD 2007 by the non posting requirement of the submitted papers on the web during the reviewing period. For the benefit of the authors, the review process and the author feedback dates were clearly stated in the submission guidelines.

In SIGMOD 2007, we have invited three distinguished members from our own community as keynote speakers. As in SIGMOD 2006, we have a plenary session on SIGMOD Awards Technical talks, apart from the research papers, industrial talks, demos and tutorials. For the industrial talks, there is a session dedicated to database system development in the Far East industry. The quality and variety of the research papers, industrial talks, demos, tutorials, invited and keynote presentations have allowed us to assemble a diverse and vibrant technical program. However, with the increase in the number of research and industrial papers, as well as the plenary session, we now have five parallel tracks compared to the usual four.

Proceedings of the 2007 ACM SIGMOD international conference on Management of data

Interactive Multimedia in Education and Training

This research is related to the effort to design a more representative learning system to improve the learning result of digital fashion design, through the development of interactive multimedia based on motion graphic. This research is aimed to know the effect of interactive multimedia application based on motion graphic to increase the mastery of the concept and skill of the students to making fashion designing in digital format. The research method used is quasi experiment with research design of Nonequivalent Control Group Design. The lectures are conducted in two different classes, namely class A as the Experimental Class and class B as the Control Class. From the calculation result after interpreted using Normalize Gain, there is an increase of higher learning result in student with interactive learning based on motion graphic, compared with student achievement on conventional learning. In this research, interactive multimedia learning based on motion graphic is effective toward the improvement of student learning in concept mastering indicator and on the aspect of making fashion design in digital format.

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The Effectiveness of Using Interactive Multimedia Based on Motion Graphic in Concept Mastering Enhancement and Fashion Designing Skill in Digital Format

Mobile Ad hoc Networks (MANET) is made up of mobile devices which form an infrastructure-less network. In MANET, the devices can change its location and configure itself at any time. Hence, there is a possibility for the network to be prone to abnormal network events due to certain factors like error in the links, overflow in the buffers, layers, and so forth. So, in this paper, a cross-layer based congestion detection and routing protocol is proposed using Fuzzy logic. In this protocol, whenever a network event occurs, the kind of event occurring is recognized in order to handle it accordingly. Next, the alternate routes for data transmission are determined by applying the concept of fuzzy logic on some of the critical factors. Based on the fuzzy inference rules, appropriate routes are selected and data messages are transmitted successfully.

Cross-layer based congestion detection and routing protocol using fuzzy logic for MANET

“A picture is worth more than thousand words” refers to the impression that a complex concept can be conveyed with just a single image. Multimedia-based education is a combination of interactive / non-interactive learning material with a stimulating, coherent graphics, video and animated components. When education is creative, problem based, interactive, and target based, learners always interested in learning. Such learning environment could be provided by means of Multimedia based Education. An ineffective learning environment could be witnessed if instructions are designed without considering the multimedia principles. A research is required to identify the elements and structure, which can help the learner to increase the skill level, reduce the learning time and improve the performance of a learner. This study has been conducted in 12 universities where instruction and assessments were conducted in multimedia environment. The student’s responses are recorded and factors are highlighted after using mathematical rules. An operational model has been suggested incorporating all the factors to enhance overall academic performance of a student.

/pdf/skill-development-in-multimedia-based-learning-environment-1d4e0x42mn.pdf

Skill development in Multimedia Based Learning Environment in Higher Education: An Operational Model

The World-Wide Web provides every Internet citizen access to an abundance of information, but difficulty increases in
identifying the relevant piece of information. Popular Search engine uses log for keeping track of user activities including user
queries, click-through and their behavior. Research in web mining tries to address this problem by discovering knowledge from user logs. We propose an approach to discover patterns that can predict user’s search, without aid of remote server. Our method analyses user’s interactions by constructing FP-tree, which facilitates in producing templates from the user logs. Consensus tree growth is restricted and templates are obtained from leaves, which assist user’s searching process with precision. We show the effectiveness of our method on realistic web logs and explore the tradeoff between prediction’s accuracy and usefulness. Test results show the improved algorithm has lower complexity of time and space, and fit the capacity of memory.

/pdf/constraint-based-frequent-pattern-mining-for-generalized-3tnp4wmjm6.pdf

Constraint based frequent pattern mining for generalized query templates from web log

Mobile Ad Hoc Networks consists of mobile nodes which are organized in a random manner. It can communicate with each other without any centralized infrastructure. Due to congestion, the packet loss is heavily occurred in the particular link. In order to avoid congestion, cross layer based congestion control scheme is proposed for reducing the packet losses in the network. The proposed scheme contains four phases. In first phase, the cross layer design is proposed to ensure that the information sharing can be done between the different layers in protocol stack. In second phase, the congestion detection scheme is explored which attains packet loss rate and congestion scale factor. In third phase, congestion control is achieved using cross layer approach. Here the congestion route is determined based on the path gain, buffer tenancy fraction. In fourth, new packet format is proposed. Each node maintains the congestion scale value, buffer tenancy fractional value. By extensive simulation, the proposed scheme achieves better throughput, congestion ratio, packet delivery ratio, low end to end delay and overhead than the existing schemes.

/pdf/cross-layer-based-congestion-control-scheme-for-mobile-ad-3a8xj58ohj.pdf

Cross Layer based Congestion Control Scheme for Mobile Ad hoc Networks

Data clustering and classification technique algorithms often need to possess enough and prominent number of features in the data. Repeating and dominant features are useful in clustering or segmenting the image. The image segmentation method based on k-mean clustering, hierarchical clustering, and expectation maximization derives the optimum cluster centers based on the number of features such as similar intensity region. Deriving such number optimum number of clusters and its centers is an optimization problem. The aim of this paper is to improve the image segmentation using nature inspired techniques. Image segmentation which is complex optimization problem can be solved by this simple nature inspired PSO (Particle swarm optimization) model which is formulated in this paper. PSO model is generic model which is used to solve number of scientific problems. This paper formulates simple PSO model to solve the image segmentation problem. The proposed algorithm randomly assigns the centers to swarm and best value of objective function is initialized best on the color histogram of an image. This is discussed in section 2 and 3 of paper. Section 4 and 5 discusses and results and concluding remarks on results.

Novel Image Segmentation Using Particle Swarm Optimization

Multilabel classification is the problem of assigning a set of positive labels to an instance and recently it is highly required in applications like protein function classification, music categorization, gene classification and document classification for easy identification and retrieving of information. Labeling the documents of the web manually is a time consuming and a difficult task due to the size of the web which is a huge information resource and to overcome this difficulty, we propose an algorithm of MapReduce for classifying labels to the documents of the web. MapReduce is a framework of parallel programming model with the functions map and reduce and meets a number of varieties of applications. In our approach, the documents of the web are given to the MapReduce framework and the MapReduce framework assigns the set of positive labels to the documents of the web using binary classification of binary classifier. On experimentation, our proposed approach satisfactorily classifies the labels to the documents of the web. Keyword-Multilabel classification, MapReduce, Problem transformation, Binary classifier, Binary classification

/pdf/multilabel-classification-of-documents-with-mapreduce-2qfuj90llf.pdf

Ramachandra V. Pujeri

Papers

Skill development in Multimedia Based Learning Environment in Higher Education: An Operational Model

Constraint based frequent pattern mining for generalized query templates from web log

Cross Layer based Congestion Control Scheme for Mobile Ad hoc Networks

Novel Image Segmentation Using Particle Swarm Optimization

Multilabel classification of documents with mapreduce