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With the advent of technology, there has been a rapid increase in data acquisition. Among the several types of data gathered, interpreting multimedia data by a machine without human intervention is a challenge. Extracting meaningful content from videos will help provide better solutions in various domains. Banking on processing the videos as our rudimentary concept, this paper intends to detect the...
Project Based Learning (PBL) is Learner-centered Educational method. In PBL, the undergraduate computer science and engineering students are progressively given responsibility for their education. PBL for a given course make students to work together to solve real-world problem for the given course. In this course, students are made to learn to solve the problems related to Data Analytics (DA) and...
Hierarchical data is becoming increasingly prominent, especially on the web. Wikipedia is one such example where there are millions of documents that are classified into multiple classes in a hierarchical fashion. This gives rise to an interesting problem of automating the classification of new documents. As the size of the dataset grows, so does the number of classes. Further, there seems to be sparsity...
Scheduling tasks in the cloud computing environment, particularly for data intensive applications is of great importance and interest. In this paper, we propose a new workflow model presented in a rigorous graph-theoretic setting. In this new model, we would like to incorporate possible similarities between requisite files which are needed to complete the given set of tasks. We show that it is NP-Complete...
Wireless Sensor Networks (WSNs) have become an integral part of weather monitoring applications in a wide range of domains such as environmental monitoring, health-care, asset monitoring modern warfare scenarios, industrial and production monitoring. The available applications provide services to these domains on an hourly basis and are highly accurate. With the exploration and advancement in the...
Phylogenetic analysis has become essential part of research on the evolutionary tree of life. Distance-matrix methods of phylogenetic analysis explicitly rely on a measure of "genetic distance" between the sequences being classified, and therefore they require multiple sequence alignments as an input. Distance methods attempt to construct an all-to-all matrix from the sequence query set...
Key generation is an important challenge among the issues related to security in wireless sensor network. Each node has a set of keys called key-chain rather than a single shared key. The key-chains are generated at the base station and stored in the ROMs of sensor nodes prior to deployment. This paper brings in the idea of deterministic approach to key generation. There is no need to assume a probability...
The popularity of live streaming applications on the internet is increasing. These applications are highly delay sensitive and bandwidth intensive. The traditional client-server model requires a lot of upload bandwidth and processing power on the server side to handle millions of clients. In this paper we propose a mesh based peer-to-peer architecture for streaming audio that is scalable, reliable,...
Sequence retrieval serves as a preprocess for a number of other processes including motif discovery, in which obtained sequences are scored against a consensus before being recognized as a motif. This depends on the way sequences are stored prior to retrieval. The usage of two bits for representing genomic characters is optimal storage wise, however does not provide any details regarding length of...
This paper proposes a new approach, wherein multiple populations are evolved on different landscapes. The problem statement is broken down, to describe discrete characteristics. Each landscape, described by its fitness landscape is used to optimize or amplify a certain characteristic or set of characteristics. Individuals from each of these populations are kept geographically isolated from each other...
Data mining involves nontrivial process of extracting knowledge or patterns from large databases. Genetic Algorithms are efficient and robust searching and optimization methods that are used in data mining. In this paper we propose a Self-Adaptive Migration Model GA (SAMGA), where parameters of population size, the number of points of crossover and mutation rate for each population are adaptively...
DNA compression has been a subject of great interest since the availability of genomic databases. Although only two bits are sufficient to encode four bases of DNA ( namely A, G, T and C ), the massive size DNA sequences compels the need for efficient compression. General text compression methods do not make use of characteristics specific to DNA sequences. DNA specific compression algorithms usually...
Protein sequence motifs are short conserved subsequences common to related protein sequences. Information about motifs is extremely important to the study of biologically significant conserved regions in protein families. These conserved regions can determine the functions and conformation of proteins. Conventionally, recurring patterns of proteins are explored using short protein segments and classification...
Knowledge discovery and data mining (KDD) process includes preprocessing, transformation, data mining and knowledge extraction. The two important tasks of data mining are clustering and classification. In this paper, we propose a generic feature extraction for classification using fuzzy C-means (FCM) clustering. The raw data is preprocessed, normalized and then data points are clustered using the...
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