Pareto-Based Dominant Graph: An Efficient Indexing Structure To Answer Top-K Queries

Technology Used: Dot Net Knowledge and Data Engineering, IEEE 2011 Given a record set D and a query score function F, a top-k query returns k records from D, whose values of function F on their attributes are the highest. In this paper, we investigate the intrinsic connection between top-k queries and dominant relationships between [...]

Ranking Spatial Data by Quality Preferences

Technology Used: Java/ J2EE Knowledge and Data Engineering IEEE 2011   A spatial preference query ranks objects based on the qualities of features in their spatial neighborhood. For example, using a real estate agency database of flats for lease, a customer may want to rank the flats with respect to the appropriateness of their location, [...]

A Personalized Ontology Model for Web Information Gathering

Technology Used: Java/ J2EE Knowledge and Data Engineering, IEEE 2011 As a model for knowledge description and formalization, ontologies are widely used to represent user profiles in personalized web information gathering. However, when representing user profiles, many models have utilized only knowledge from either a global knowledge base or a user local information. In this [...]

Usher: Improving Data Quality with Dynamic Forms

Technology Used: Java/ J2EE Knowledge and Data Engineering, IEEE 2011 Data quality is a critical problem in modern databases. data-entry forms present the first and arguably best opportunity for detecting and mitigating errors, but there has been little research into automatic methods for improving data quality at entry time. In this paper, we propose Usher, [...]

Publishing Search Logs – A Comparative Study of Privacy Guarantees

Technology Used: Java/ J2EE Knowledge and Data Engineering, IEEE 2011 Search engine companies collect the “database of intentions,” the histories of their users’ search queries. These search logs are a gold mine for researchers. Search engine companies, however, are wary of publishing search logs in order not to disclose sensitive information. In this paper we [...]

Data Leakage Detection

Technology Used: Java Knowledge and Data Engineering, IEEE 2011 Download IEEE Projects 2011 Basepaper We study the following problem: A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data are leaked and found in an unauthorized place (e.g., on the web or somebody’s laptop). The distributor must [...]

Bridging Domains Using World Wide Knowledge for Transfer Learning

Technology Used: Dot Net Knowledge and Data Engineering, IEEE 2010 A major problem of classification learning is the lack of ground-truth labeled data. It is usually expensive to label new data instances for training a model. To solve this problem, domain adaptation in transfer learning has been proposed to classify target domain data by using [...]

Managing Multidimensional Historical Aggregate Data In Unstructured P2P Network

Technology Used: Java / J2EE Knowledge and Data Engineering, IEEE 2010 A P2P-based framework supporting the extraction of aggregates from historical multidimensional data is proposed, which provides efficient and robust query evaluation. When a data population is published, data are summarized in a synopsis, consisting of an index built on top of a set of [...]

P2P Reputation Management Using Distributed Identities And Decentralized Recommendation Chains

Technology Used: Java Knowledge and Data Engineering, IEEE 2010 Peer-to-peer (P2P) networks are vulnerable to peers who cheat, propagate malicious code, leech on the network, or simply do not cooperate. The traditional security techniques developed for the centralized distributed systems like client-server networks are insufficient for P2P networks by the virtue of their centralized nature. [...]

PAM An Efficient And Privacy-Aware Monitoring Framework For Continuously Moving Objects

Technology Used: Java / J2EE Knowledge and Data Engineering, IEEE 2010 Efficiency and privacy are two fundamental issues in moving object monitoring. This paper proposes a privacy-aware monitoring (PAM) framework that addresses both issues. The framework distinguishes itself from the existing work by being the first to holistically address the issues of location updating in [...]