<style face="normal" font="default" size="100%">Micro-blogging Content Analysis via Emotionally-Driven Clustering</style>

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<style face="normal" font="default" size="100%">Micro-blogging Content Analysis via Emotionally-Driven Clustering</style>

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<style face="normal" font="default" size="100%">Social Data Sentiment Analysis in Smart Environments - Extending Dual Polarities for Crowd Pulse Capturing</style>

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<style face="normal" font="default" size="100%">In & out zooming on time-aware user/tag clusters</style>

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<style face="normal" font="default" size="100%">A Clustering-Driven LDAP Framework</style>

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<style face="normal" font="default" size="100%">Emotional Aware Clustering on Micro-blogging Sources</style>

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<style face="normal" font="default" size="100%">Towards a User-Aware Virtual Museum</style>

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<style face="normal" font="default" size="100%">Automatic extraction of structure, content and usage data statistics of web sites</style>

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<style face="normal" font="default" size="100%">Dynamic Code Generation for Cultural Content Management</style>

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<style face="normal" font="default" size="100%">Exploring temporal aspects in user-tag co-clustering</style>

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<style face="normal" font="default" size="100%">Clustering of Social Tagging System Users: A Topic and Time Based Approach</style>

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<style face="normal" font="default" size="100%">A fuzzy bi-clustering approach to correlate web users and pages</style>

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<style face="normal" font="default" size="100%">A new approach to web users clustering and validation: a divergence-based scheme</style>

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<style face="normal" font="default" size="100%">Co-Clustering Tags and Social Data Sources</style>

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<style face="normal" font="default" size="100%">Correlating Time-Related Data Sources with Co-clustering</style>

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<style face="normal" font="default" size="100%">A Structure-Based Clustering on LDAP Directory Information</style>

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<style face="normal" font="default" size="100%">Time-Aware Web Users’ Clustering</style>

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<style face="normal" font="default" size="100%">A Divergence-Oriented Approach for Web Users Clustering</style>

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<style face="normal" font="default" size="100%">LDAP: Framework, Practices, and Trends</style>