Database and XML Technologies
4th International XML Database Symposium, XSym 2006 Seoul, Korea, September 10-11, 2006 Proceedings
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15 Result(s)
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Sihem Amer-Yahia
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
Multi-Objective Recommendations and Promotions at TOTAL
In this paper, we revisit the semantics of recommendations and promotional offers using multi-objective optimization principles. We investigate two formulations of product recommendation that go beyond traditi...
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Chapter
Enabling Decision Support Through Ranking and Summarization of Association Rules for TOTAL Customers
Our focus in this experimental analysis paper is to investigate existing measures that are available to rank association rules and understand how they can be augmented further to enable real-world decision sup...
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Chapter and Conference Paper
An Efficient Greedy Algorithm for Sequence Recommendation
Recommending a sequence of items that maximizes some objective func...
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Chapter and Conference Paper
Scalable Active Constrained Clustering for Temporal Data
In this paper, we introduce a novel interactive framework to handle both instance-level and temporal smoothness constraints for clustering large temporal data. It consists of a constrained clustering algorithm...
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Chapter and Conference Paper
Toward Interactive User Data Analytics
User data can be acquired from various domains. This data is characterized by a combination of demographics such as age and occupation and user actions such as rating a movie, reviewing a restaurant or buying ...
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Chapter and Conference Paper
Multi-Objective Group Discovery on the Social Web
We are interested in discovering user groups from collaborative rating datasets of the form \(\langle i, u, s\rangle \) ...
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Chapter and Conference Paper
TopPI: An Efficient Algorithm for Item-Centric Mining
We introduce TopPI, a new semantics and algorithm designed to mine long-tailed datasets. For each item, and regardless of its frequency, TopPI finds the k most frequent closed itemsets that item belongs to. For e...
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Article
PGLCM: efficient parallel mining of closed frequent gradual itemsets
Numerical data (e.g., DNA micro-array data, sensor data) pose a challenging problem to existing frequent pattern mining methods which hardly handle them. In this framework, gradual patterns have been recently ...
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Chapter
Increasing Coverage in Distributed Search and Recommendation with Profile Diversity
With the advent of Web 2.0 users are producing bigger and bigger amounts of diverse data, which are stored in a large variety of systems. Since the users’ data spaces are scattered among those independent syst...
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Chapter
Optimizing Tree Pattern Queries over Secure XML Databases
The rapid emergence of XML as a standard for data representation and exchange over the Web has sparked considerable interest in models and efficient mechanisms for controlled access, especially using queries, ...
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Book and Conference Proceedings
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Chapter and Conference Paper
Expressiveness and Performance of Full-Text Search Languages
We study the expressiveness and performance of full-text search languages. Our motivation is to provide a formal basis for comparing full-text search languages and to develop a model for full-text search that ...
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Chapter and Conference Paper
Teaching Relational Optimizers About XML Processing
Due to their numerous benefits, relational systems play a major role in storing XML documents. XML also benefits relational systems by providing a means to publish legacy relational data. Consequently, a large...
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Chapter and Conference Paper
Tree Pattern Relaxation
Tree patterns are fundamental to querying tree-structured data like XML. Because of the heterogeneity of XML data, it is often more appropriate to permit approximate query matching and return ranked answers, i...
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Chapter and Conference Paper
On Bounding-Schemas for LDAP Directories
As our world gets more networked, ever increasing amounts of information are being stored in LDAP directories. While LDAP directories have considerable flexibility in the modeling and retrieval of information ...
