Showing 709–720 of 776 results
The Role Of Hubness For Clustering High Dimensional Data Abstract?The Role Of Hubness For Clustering High Dimensional Data. High-dimensional data arise naturally in many domains, and have regularly presented a great < Final Year Projects > challenge for traditional data mining techniques, both in terms of effectiveness and efficiency. Clustering becomes difficult due to the…
The Role of Hubness in Clustering High-Dimensional Data Abstract? The Role of Hubness in Clustering High-Dimensional Data. High-dimensional data arise naturally in many domains, and have regularly presented a great challenge for traditional data mining techniques, both in terms of effectiveness and efficiency. Clustering becomes difficult due to the increasing sparsity of such data, as…
The Small World of File Sharing. Web caches, content distribution networks, peer-to-peer file-sharing networks, distributed file systems, and data grids all have in common that they involve a community of users who use shared data. In each case, overall system performance can be improved significantly by first identifying and then exploiting the structure of community’s…
Time Series Shapelets: A New Primitive for Data Mining Abstract? Time Series Shapelets: A New Primitive for Data Mining. Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm is very difficult to beat for most time series problems. While…
Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles Abstract? Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles. Recently, two ideas have been explored that lead to more accurate algorithms for time-series classi?cation < Final Year Projects 2016 > TSC. First, it has been shown that the simplest way to gain improvement on TSC…
To improve Blood Donation Process using Data Mining Techniques Abstract? To improve Blood Donation Process using Data Mining Techniques. Blood is the vital thing for human being because there is no alternative for replacing it. This makes it necessary for the presence of a system for predicting continuous behavior of healthy blood donors in blood…
To Lie or t o Comply: Defending against FloodAttacks in Disruption Tolerant Networks Abstract? To Lie or t o Comply: Defending against FloodAttacks in Disruption Tolerant Networks. For a broad-topic and ambiguous query, different users may have different search goals when they submit it to a search engine. The inference and analysis of user search…
Top-k Similarity Join in Heterogeneous Information Networks Abstract? Top-k Similarity Join in Heterogeneous Information Networks. As a newly emerging network model, heterogeneous information networks < Final Year Projects 2016 > have received growing attention. Many data mining tasks have been explored in HINs, including clustering, classi?cation, and similarity search. Similarity join is a fundamental operation…
Topic Mining over Asynchronous Text Sequences Abstract? Topic Mining over Asynchronous Text Sequences. Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Readme File Addons Video Tutorials Supporting Softwares [/numbers_sections] [numbers_sections number=”2″ title=”Our =Specialization=” last=”no” ] Voice Conference Video On…
Topic Model for Graph Mining Abstract? Topic Model for Graph Mining. Graph mining has been a popular research area because of its numerous application scenarios. Many unstructured and structured data can be represented as graphs, such as, documents, chemical molecular structures, and images. However, an issue in relation to current research on graphs is that…
TopicMachine: Conversion Prediction in Search Advertising using Latent Topic Models Abstract?TopicMachine: Conversion Prediction in Search Advertising using Latent Topic Models. Search Engine Marketing (SEM) agencies manage thousands of search keywords for their clients. The campaign management dashboards provided by advertisement brokers have interfaces to change search campaign attributes. Using these dashboards, advertisers create test variants…
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