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    1

    Approximately Mining Recent Frequent Itemsets on Data Streams

    2

    Mining Associative Sequential Rules for Image Classification

    3

    A Tree-Projected Pattern Growing Method for Mining Frequent Sub-Trees Efficiently

    4

    An Efficient Strategy for Mining Temporal Frequent Item Sets

    5

    Search-Based Approach for Automatic Relation Extraction of Disease and Symptom

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    6

    Predicting Personal Activity Intention from GPS Trajectory with Recurrent Neural Networks

    7

    A Recommendation Model for Rating Prediction and Explanation Generation via Aspects Learning

    8

    Data Representation Learning from Heterogeneous Network of Medical Data for Mortality Prediction

    9

    Unsupervised Aspect-aware Opinion Summarization by Neural Network

    10

    A Category-aware Sequential Recommendation System with Time Intervals of Purchases