Titlebook: Knowledge Science, Engineering and Management; 14th International C Han Qiu,Cheng Zhang,Sun-Yuan Kung Conference proceedings 2021 Springer

Gesture

微枝末節(jié)

全國性

hemorrhage

A Clustering-Prediction Pipeline for Customer Churn Analysispecifically designed to model customer behaviors to predict churners. We evaluated the prediction performance of ClusPred with IHPP using datasets from banking, retails, and mobile application fields. The experiments illustrated the ClusPred pipeline with IHPP have increased the performance while en

強所

Integrating Real-Time Entity Resolution with Top-, Join Query Processing propose two database-friendly algorithms to answer the top-. join queries with the following two cases of data access methods: restricting sorted access and no random access. Extensive experiments are conducted to measure the effectiveness and efficiency of our approaches over various dirty dataset

keloid

Parley

Rumor Verification on Social Media with?Stance-Aware Recursive Treechanism and a multi-task learning module to explore the context of short retweets, which could help to enrich the semantics and stance information in short retweets. In detail, the context of short retweets refers to those retweets that respond to a same tweet, i.e., sibling nodes in a conversation

lesion

Aspect and Opinion Terms Co-extraction Using Position-Aware Attention and?Auxiliary Labelslly, we concatenate the local and global context features to extract aspect and opinion terms simultaneously. The experimental results on four SemEval datasets prove the effectiveness of AOExtractor. Compared with the baseline, our model improves F1 by about 2–5%.

enchant

放逐

Fine-Grained Image Classification Based on Target Acquisition and Feature Fusion Then, we provide a new attention mechanism Spatial-Channel Attention (SCA) to focus on the spatial discriminative parts of the image to reduce the feature redundancy. Based on SCA, we further construct a Bilinear Convolutional Neural Network (BCNN) to fuse the high and low dimensional features by l