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CODE Modeling of Graph Composition for Data Warehouse Report Visualization

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM17


Project Desc : The visualization is the emerging technique to obtain human-computer interaction. It contains the reports and graphs, for both the accuracy and the complexity of relationships between data must be preserved.

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Probability of Severe Adverse Events as a Function of Hospital Occupancy

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM18


Project Desc : A unique application of regression modeling is described to compare hospital bed occupancy with reported severe adverse events amongst inpatients. The probabilities of the occurrence of adverse events as a function of hospital occupancy are calculated using logistic and multinomial regression model.

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Using data merging techniques for generating multi - document summarizations

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM19


Project Desc : In this paper we study about bridging the vocabulary gap between health seekers and providers has hindered the cross-system operability and the inter-user reusability. To bridge this gap, in this paper presents a novel scheme to code the medical records by jointly utilizing local mining and global learning approaches, which are tightly linked and mutually reinforced.

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Motif - based Hyponym Relation Extraction from Wikipedia Hyperlinks

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM20


Project Desc : Discovering hyponym relations among domain-specific terms is a fundamental task in taxonomy learning and knowledge acquisition. However, the great diversity of various domain corpora and the lack of labeled training sets make this task very challenging for conventional methods that are based on text content.

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Active Learning of Constraints for Semi - Supervised Clustering

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM21


Project Desc : For clustering biomedical documents, we can consider three different types of information: the local-content (LC) information from documents, the global-content (GC) information from the whole document collections, and the medical subject heading (MeSH)-semantic (MS) information.

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Control Cloud Data Access Privilege and Anonymity With Fully Anonymous Attribute-Based Encryption

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDCC04


Project Desc : We present the AnonyControl-F, which fully prevents the identity leakage and achieve the full anonymity. Our security analysis shows that both AnonyControl and AnonyControl-F are secure under the decisional bilinear Differ-Hellman assumption, and our performance evaluation exhibits the feasibility of our schemes.

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A Hybrid Cloud Approach for Secure Authorized Deduplication

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDCC07


Project Desc : In this paper we study about hybrid cloud approach for secure authorized deduplication. Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth.

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Scalable Transaction Management with Snapshot Isolation for NoSQL Data Storage Systems

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDCC09


Project Desc : As a cloud computing systems refers to the demand delivery of IT resources via the internet with pay as you go pricing. A cloud offers many services to the end users such as software, infrastructure and platform go on.

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Real - time Semantic Search using Approximate Methodology for Large - scale Storage Systems

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDCC17


Project Desc : The challenges of handling the explosive growth in data volume and complexity cause the increasing needs for semantic queries. The semantic queries can be interpreted as the correlation-aware retrieval, while containing approximate results.

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