A survey of top-k query processing techniques in relational database systems
Efficient processing of top-k queries is a crucial requirement in many interactive
environments that involve massive amounts of data. In particular, efficient top-k processing …
environments that involve massive amounts of data. In particular, efficient top-k processing …
Top-k query processing in uncertain databases
Top-k processing in uncertain databases is semantically and computationally different from
traditional top-k processing. The interplay between score and uncertainty makes traditional …
traditional top-k processing. The interplay between score and uncertainty makes traditional …
Extracting kernel dataset from big sensory data in wireless sensor networks
The amount of sensory data manifests an explosive growth due to the increasing popularity
of Wireless Sensor Networks (WSNs). The scale of sensory data in many applications has …
of Wireless Sensor Networks (WSNs). The scale of sensory data in many applications has …
Deceptprompt: Exploiting llm-driven code generation via adversarial natural language instructions
With the advancement of Large Language Models (LLMs), significant progress has been
made in code generation, enabling LLMs to transform natural language into programming …
made in code generation, enabling LLMs to transform natural language into programming …
Ranking queries on uncertain data: a probabilistic threshold approach
Uncertain data is inherent in a few important applications such as environmental
surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are …
surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are …
Curve query processing in wireless sensor networks
Most existing query processing algorithms for wireless sensor networks (WSNs) can only
deal with discrete values. However, since the monitored environment always changes …
deal with discrete values. However, since the monitored environment always changes …
Outlier detection in sensor networks
Outlier detection has many important applications in sensor networks, eg, abnormal event
detection, animal behavior change, etc. It is a difficult problem since global information about …
detection, animal behavior change, etc. It is a difficult problem since global information about …
Drawing dominant dataset from big sensory data in wireless sensor networks
The amount of sensory data manifests an explosive growth due to the increasing popularity
of Wireless Sensor Networks. The scale of the sensory data in many applications has …
of Wireless Sensor Networks. The scale of the sensory data in many applications has …
Best position algorithms for efficient top-k query processing
R Akbarinia, E Pacitti, P Valduriez - Information Systems, 2011 - Elsevier
The general problem of answering top-k queries can be modeled using lists of data items
sorted by their local scores. The main algorithm proposed so far for answering top-k queries …
sorted by their local scores. The main algorithm proposed so far for answering top-k queries …
Top-k monitoring in wireless sensor networks
Top-k monitoring is important to many wireless sensor applications. This paper exploits the
semantics of top-k query and proposes an energy-efficient monitoring approach called FILA …
semantics of top-k query and proposes an energy-efficient monitoring approach called FILA …