Dingming Wu
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View article: A Fast and Accurate Block Compression Solution for Spatiotemporal Kernel Density Visualization
A Fast and Accurate Block Compression Solution for Spatiotemporal Kernel Density Visualization Open
View article: CDFRS: A scalable sampling approach for efficient big data analysis
CDFRS: A scalable sampling approach for efficient big data analysis Open
The sampling-based approximation method has demonstrated its potential in various domains such as machine learning, query processing, and data analysis. Most preceding sampling algorithms generate samples at the record level, making it imp…
View article: A scalable and flexible basket analysis system for big transaction data in Spark
A scalable and flexible basket analysis system for big transaction data in Spark Open
Basket analysis is a prevailing technique to help retailers uncover patterns and associations of sold products in customer shopping transactions. However, as the size of transaction databases grows, the traditional basket analysis techniqu…
View article: Efficient Retrieval of the Top-<i>k</i> Most Relevant Event-Partner Pairs
Efficient Retrieval of the Top-<i>k</i> Most Relevant Event-Partner Pairs Open
The proliferation of event-based social networking (EBSN) motivates studies on topics such as event, venue, and friend recommendation as well as event creation and organization. In this setting, the notion of event-partner recommendation h…
View article: Activeness and Loyalty Analysis in Event-Based Social Networks
Activeness and Loyalty Analysis in Event-Based Social Networks Open
Event-based social networks (EBSNs) are widely used to create online social groups and organize offline events for users. Activeness and loyalty are crucial characteristics of these online social groups in terms of determining the growth o…
View article: On quantum methods for machine learning problems part II: Quantum classification algorithms
On quantum methods for machine learning problems part II: Quantum classification algorithms Open
This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presented some of the fundamentals and introduced several quantum tools based on known quantum search algorithms…
View article: On quantum methods for machine learning problems part I: Quantum tools
On quantum methods for machine learning problems part I: Quantum tools Open
This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presents the fundamentals of qubits, quantum registers, and quantum states, introduces important quantum tools b…
View article: Location-aware personalized keyword query recommendation
Location-aware personalized keyword query recommendation Open
The query recommendation provides several alternative queries based on the input query. By using the recommended queries, the users may retrieve more relevant information. Location-aware keyword query recommendation aims for suggesting que…
View article: C3C: A New Static Content-Based Three-Level Web Cache
C3C: A New Static Content-Based Three-Level Web Cache Open
One way of improving the performance of a search engine is increasing the hit ratio of the search engine cache. A common and widely used approach for increasing the hit ratio is a combination of the result cache, the posting list cache, an…
View article: Density-Based Place Clustering Using Geo-Social Network Data
Density-Based Place Clustering Using Geo-Social Network Data Open
Spatial clustering deals with the unsupervised grouping of places into clusters and finds important applications in urban planning and marketing. Current spatial clustering models disregard information about the people and the time who and…
View article: A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters
A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters Open
Keyword-based web queries with local intent retrieve web content that is relevant to supplied keywords and that represent points of interest that are near the query location. Two broad categories of such queries exist. The first encompasse…
View article: Top-k Relevant Semantic Place Retrieval on Spatial RDF Data
Top-k Relevant Semantic Place Retrieval on Spatial RDF Data Open
RDF data are traditionally accessed using structured query languages, such as SPARQL. However, this requires users to understand the language as well as the RDF schema. Keyword search on RDF data aims at relieving the user from these requi…
View article: CCDC 1404994: Experimental Crystal Structure Determination
CCDC 1404994: Experimental Crystal Structure Determination Open
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …
View article: Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification
Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification Open
View article: Location Aware Keyword Query Suggestion Based on Document Proximity
Location Aware Keyword Query Suggestion Based on Document Proximity Open
Keyword suggestion in web search helps users to access relevant information without having to know how to precisely express their queries. Existing keyword suggestion techniques do not consider the locations of the users and the query resu…
View article: Clustering in Geo-Social Networks
Clustering in Geo-Social Networks Open
The rapid growth of Geo-Social Networks (GeoSNs) provides a new and rich form of data. Users of
\nGeoSNs can capture their geographic locations and share them with other users via an operation named checkin. Thus, GeoSNs can track the conn…
View article: Recommending High Utility Queries via Query-Reformulation Graph
Recommending High Utility Queries via Query-Reformulation Graph Open
Query recommendation is an essential part of modern search engine which aims at helping users find useful information. Existing query recommendation methods all focus on recommending similar queries to the users. However, the main problem …
View article: Additional file 1: of Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification
Additional file 1: of Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification Open
This file contains Supplementary Figures S1-S3. Figure S1. The curve of â explained varianceâ against the target rank r. Figure S2. The curve of silhouette value against cluster number. Figure S3. Heatmap of the molecular signatures associ…