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2012 IEEE 28th International Conference on Data Engineering

Date 1-5 April 2012

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Displaying Results 1 - 25 of 158
  • [Front cover]

    Publication Year: 2012, Page(s): C1
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  • [Title page i]

    Publication Year: 2012, Page(s): i
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  • [Title page iii]

    Publication Year: 2012, Page(s): iii
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  • Copyright (c) 2012 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved. [Copyright notice]

    Publication Year: 2012, Page(s): iv
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  • Table of contents

    Publication Year: 2012, Page(s):v - xvi
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  • Message from the ICDE 2012 Program Chairs and the General Chair

    Publication Year: 2012, Page(s):xvii - xviii
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  • Conference Organization

    Publication Year: 2012, Page(s):xix - xxvii
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  • Awards

    Publication Year: 2012, Page(s):xxviii - xxix
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  • Sponsors

    Publication Year: 2012, Page(s): xxx
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  • Viewing the Web as a Distributed Knowledge Base

    Publication Year: 2012, Page(s):1 - 4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (266 KB) | HTML iconHTML

    This paper addresses the challenges faced by everyday Web users, who interact with inherently heterogeneous and distributed information. Managing such data is currently beyond the skills of casual users. We describe ongoing work that has as its goal the development of foundations for declarative distributed data management. In this approach, we see the Web as a knowledge base consisting of distrib... View full abstract»

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  • How Different is Big Data?

    Publication Year: 2012, Page(s): 5
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (143 KB) | HTML iconHTML

    One buzzword that has been popular in the last couple of years is Big Data. In simplest terms, Big Data symbolizes the aspiration to build platforms and tools to ingest, store and analyze data that can be voluminous, diverse, and possibly fast changing. In this talk, I will try to reflect on a few of the technical problems presented by the exploration of Big Data. Some of these challenges in data ... View full abstract»

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  • Accountability and Trust in Cooperative Information Systems

    Publication Year: 2012, Page(s): 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (142 KB) | HTML iconHTML

    Summary form only given. Cooperation and trust play an increasingly important role in today's information systems. For instance, peer-to-peer systems like BitTorrent, Sopcast and Skype are powered by resource contributions from participating users, federated systems like the Internet have to respect the interests, policies and laws of participating organizations and countries; in the Cloud, users ... View full abstract»

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  • The Future of Scientific Data Bases

    Publication Year: 2012, Page(s):7 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (177 KB) | HTML iconHTML

    For many decades, users in scientific fields (domain scientists) have resorted to either home-grown tools or legacy software for the management of their data. Technological advancements nowadays necessitate many of the properties such as data independence, scalability, and functionality found in the roadmap of DBMS technology, DBMS products, however, are not yet ready to address scientific applica... View full abstract»

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  • Privacy in Social Networks: How Risky is Your Social Graph?

    Publication Year: 2012, Page(s):9 - 19
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (628 KB) | HTML iconHTML

    Several efforts have been made for more privacy aware Online Social Networks (OSNs) to protect personal data against various privacy threats. However, despite the relevance of these proposals, we believe there is still the lack of a conceptual model on top of which privacy tools have to be designed. Central to this model should be the concept of risk. Therefore, in this paper, we propose a risk me... View full abstract»

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  • Differentially Private Spatial Decompositions

    Publication Year: 2012, Page(s):20 - 31
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (359 KB) | HTML iconHTML

    Differential privacy has recently emerged as the de facto standard for private data release. This makes it possible to provide strong theoretical guarantees on the privacy and utility of released data. While it is well-understood how to release data based on counts and simple functions under this guarantee, it remains to provide general purpose techniques to release data that is useful for a varie... View full abstract»

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  • Differentially Private Histogram Publication

    Publication Year: 2012, Page(s):32 - 43
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (469 KB) | HTML iconHTML

    Differential privacy (DP) is a promising scheme for releasing the results of statistical queries on sensitive data, with strong privacy guarantees against adversaries with arbitrary background knowledge. Existing studies on DP mostly focus on simple aggregations such as counts. This paper investigates the publication of DP-compliant histograms, which is an important analytical tool for showing the... View full abstract»

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  • Privacy-Preserving and Content-Protecting Location Based Queries

    Publication Year: 2012, Page(s):44 - 53
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (438 KB) | HTML iconHTML

    In this paper we present a solution to one of the location-based query problems. This problem is defined as follows: (i) a user wants to query a database of location data, known as Points Of Interest (POI), and does not want to reveal his/her location to the server due to privacy concerns, (ii) the owner of the location data, that is, the location server, does not want to simply distribute its dat... View full abstract»

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  • GeoFeed: A Location Aware News Feed System

    Publication Year: 2012, Page(s):54 - 65
    Cited by:  Papers (3)  |  Patents (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (489 KB) | HTML iconHTML

    This paper presents the Geo Feed system, a location-aware news feed system that provides a new platform for its users to get spatially related message updates from either their friends or favorite news sources. Geo Feed distinguishes itself from all existing news feed systems in that it takes into account the spatial extents of messages and user locations when deciding upon the selected news feed.... View full abstract»

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  • Entity Search Strategies for Mashup Applications

    Publication Year: 2012, Page(s):66 - 77
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4948 KB) | HTML iconHTML

    Programmatic data integration approaches such as mashups have become a viable approach to dynamically integrate web data at runtime. Key data sources for mashups include entity search engines and hidden databases that need to be queried via source-specific search interfaces or web forms. Current mashups are typically restricted to simple query approaches such as using keyword search. Such approach... View full abstract»

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  • CI-Rank: Ranking Keyword Search Results Based on Collective Importance

    Publication Year: 2012, Page(s):78 - 89
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (739 KB) | HTML iconHTML

    Keyword search over databases, popularized by keyword search in WWW, allows ordinary users to access database information without the knowledge of structured query languages and database schemas. Most of the previous studies in this area use IR-style ranking, which fail to consider the importance of the query answers. In this paper, we propose CI-RANK, a new approach for keyword search in database... View full abstract»

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  • Temporal Analytics on Big Data for Web Advertising

    Publication Year: 2012, Page(s):90 - 101
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (790 KB) | HTML iconHTML

    "Big Data" in map-reduce (M-R) clusters is often fundamentally temporal in nature, as are many analytics tasks over such data. For instance, display advertising uses Behavioral Targeting (BT) to select ads for users based on prior searches, page views, etc. Previous work on BT has focused on techniques that scale well for offline data using M-R. However, this approach has limitations for BT-style ... View full abstract»

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  • Lookup Tables: Fine-Grained Partitioning for Distributed Databases

    Publication Year: 2012, Page(s):102 - 113
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (462 KB) | HTML iconHTML

    The standard way to get linear scaling in a distributed OLTP DBMS is to horizontally partition data across several nodes. Ideally, this partitioning will result in each query being executed at just one node, to avoid the overheads of distributed transactions and allow nodes to be added without increasing the amount of required coordination. For some applications, simple strategies, such as hashing... View full abstract»

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  • Temporal Support for Persistent Stored Modules

    Publication Year: 2012, Page(s):114 - 125
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1952 KB) | HTML iconHTML

    We show how to extend temporal support of SQL to the Turing-complete portion of SQL, that of persistent stored modules (PSM). Our approach requires minor new syntax beyond that already in SQL/Temporal to define and to invoke PSM routines, thereby extending the current, sequenced, and non-sequenced semantics of queries to PSM routines. Temporal upward compatibility (existing applications work as be... View full abstract»

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  • Energy Efficient Storage Management Cooperated with Large Data Intensive Applications

    Publication Year: 2012, Page(s):126 - 137
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (671 KB) | HTML iconHTML

    Power, especially that consumed for storing data, and cooling costs for data centers have increased rapidly. The main applications running at data centers are data intensive applications such as large file servers or database systems. Recently, power management of the data intensive applications has been emphasized in the literature. Such reports discuss the importance of power savings. However, t... View full abstract»

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  • ISOBAR Preconditioner for Effective and High-throughput Lossless Data Compression

    Publication Year: 2012, Page(s):138 - 149
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1067 KB) | HTML iconHTML

    Efficient handling of large volumes of data is a necessity for exascale scientific applications and database systems. To address the growing imbalance between the amount of available storage and the amount of data being produced by high speed (FLOPS) processors on the system, data must be compressed to reduce the total amount of data placed on the file systems. General-purpose loss less compressio... View full abstract»

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