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We consider statistical data analysis in the interactive setting. In this setting a trusted curator maintains a database of sensitive information about individual participants, and releases privacy-preserving answers to queries as they arrive. Our primary contribution is a new differentially private multiplicative weights mechanism for answering a large number of interactive counting (or linear) queries...
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-pre serving synopses of an input database. These are data structures that yield, for a given set Q of queries over an input database, reasonably accurate estimates of the responses to every query in Q, even when the number of queries is much larger than the number of rows in...
Nowadays, Internet users are familiar with the Web searching process; and searching is the most common task performed on the Web. However, the web search is especially difficult for beginners when they try to utilize a keyword query language. Subsequently, beginners usually try to find information with ambiguous queries. Users receive non-relevant information in response to queries. Our goal is to...
The need for interoperation and data exchange through the Internet has made Extensible Markup Language (XML) a dominant standard for data representation, while relational databases are widely used in enterprises to support critical business operations. XML querying language (XUpdate) is used to modify XML documents where as structured query language (SQL) for retrieving and manipulating data in relational...
The purpose for integration system is to provide a unified, global view to the user over various heterogeneous sources. To answer user queries, a data integration system employs a set of semantic mapping between and mediated schema(global schema) and schemas of data sources (local schema). Such data integration raises main challenging issue: (1) Scheme creations and (2) Schema mappings. In order to...
With the development of network technology, computer network is characterized as an uncontrollable, variable and unpredictable infrastructure, this brings great difficulty of verify, defining, debugging and comparing the new schemes. Network simulation technology is proposed to test, appraise, and verify means available. This paper designs and implements an intelligent analyzing tool for NS2 traces,...
In today's world of globalization, local language storage and retrieval is essential for the developing nations like India. As our country is diversified by languages and only 10% of population is aware of English language, this diversity of languages is becoming barrier to understand and acquainted in digital world. It has been found that when services are provided in local languages, it has been...
The radio frequency identification (RFID) tags are an integral part of lives today, whether realized or not. Thousands of applications are currently using RFID tags and the number is growing. RFID finds its application in fields as diverse as race timing, transportation payments, passports, & animal identification. This paper aims at combining the ubiquitous applicability of RFIDs with high speed...
Solving mathematical problems is both challenging and difficult for many students. This paper proposes a document retrieval approach to help solve mathematical problems. The proposed approach is based on Kohonenpsilas Self-Organizing Maps for data clustering of similar mathematical documents from a mathematical document database. Based on a user query problem, similar mathematical documents with their...
The encryption mechanism is an effective way to protect the sensitive data in database from various attacks. When the data is encrypted, the query performance degrades greatly. How to query encrypted data efficiently becomes a challenge. In this paper, a scheme to support query over encrypted data is proposed. Firstly, we extend two-phase framework to complete query, constructing different indexes...
Leveraging DHTs (distributed hash table), we propose a novel architecture, which applies multiple query optimization technique to efficiently aggregate queries in large scale distributed networks. We target applications that continuously query the data sources and manipulate a large amount of query results. Our goal is to implement system components to aggregate distributed queries in the network,...
A query processing model is proposed for multimedia applications operational on optical media. Considering the constraints of optical storage platforms in terms of disc access speed and memory capacity, a query execution strategy is designed and a cost model is introduced to estimate the feasibility and the efficiency of query execution plans generated by an optimiser.
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