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Showing result 1 - 5 of 3206 swedish dissertations matching the above criteria.

2. 1. Data Stream Mining and Analysis : Clustering Evolving Data

   Author : Christian Nordahl; Håkan Grahn; Veselka Boeva; Marie Netz; Plamen Angelov; Blekinge Tekniska Högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Data Stream Mining; Clustering; Data Streams; Data Mining; Computer Science; Datavetenskap;

   Abstract : Streaming data is becoming more prevalent in our society every day. With the increasing use of technologies such as the Internet of Things (IoT) and 5G networks, the number of possible data sources steadily increases. Therefore, there is a need to develop algorithms that can handle the massive amount of data we now generate. READ MORE

4. 2. Lock-free Concurrent Search

   Author : Bapi Chatterjee; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Wait-free; Help-aware; Non-blocking; Concurrency; Linearizability; Lock-based; Lock-free-kD-tree; Amortized Complexity; Data Structure; Binary Search Tree; Blocking; Search; Concurrent; kD-tree; Linked-list; Lock-free; Range Search; Language-portable; Help-optimal; Nearest Neighbour Search; Linearizable; Synchronization;

   Abstract : The contemporary computers typically consist of multiple computing cores with high compute power. Such computers make excellent concurrent asynchronous shared memory system. READ MORE

5. 3. Algorithmically Guided Information Visualization : Explorative Approaches for High Dimensional, Mixed and Categorical Data

   Author : Sara Johansson Fernstad; Mikael Jern; Jimmy Johansson; Jane Shaw; Matthew O. Ward; Linköpings universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Information visualization; data mining; high dimensional data; categorical data; mixed data;

   Abstract : Facilitated by the technological advances of the last decades, increasing amounts of complex data are being collected within fields such as biology, chemistry and social sciences. The major challenge today is not to gather data, but to extract useful information and gain insights from it. READ MORE

6. 4. Efficient concurrent data structure access parallelism techniques for increasing scalability

   Author : Adones Rukundo; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; FIFO queue; parallelism; performance modelling; design framework; semantic relaxation; Data structure; multi-access; lock free; performance analysis; counter; concurrency; search tree.; stack; multi-core processor; priority queue;

   Abstract : Multi-core processors have revolutionised the way data structures are designed by bringing parallelism to mainstream computing. Key to exploiting hardware parallelism available in multi-core processors are concurrent data structures. READ MORE

7. 5. Dynamic Adaptations of Synchronization Granularity in Concurrent Data Structures

   Author : Kjell Winblad; Konstantinos Sagonas; Erez Petrank; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; concurrent data structures; contention adapting; range queries; lock-freedom; adaptivity; linearizability; ordered sets; maps; key-value stores; concurrent priority queues; relaxed concurrent data structures; locks; delegation locking; Computer Science; Datavetenskap;

   Abstract : The multicore revolution means that programmers have many cores at their disposal in everything from phones to large server systems. Concurrent data structures are needed to make good use of all the cores. Designing a concurrent data structure that performs well across many different scenarios is a difficult task. READ MORE