OLAP applications make use of fast indexes and materialization of data. Most research treats just one topic. Either the materialized values or the design of index structures are considered. This paper examines a possible combination of both techniques. The R -tree is taken as an example of a multi-dimensional index structure. Aggregated data is stored in the inner nodes of the index structure i...

Abstract. Aggregate R-B-tree (aRB-tree) provides a framework for supporting OLAP operations over spatio-temporal data. Although existing aRB-tree implementations process sptio-temporal aggregate queries pretty efficiently, it is hardly applicable for online processing due to the excessive accesses to the aggregate B-trees of the entries in the R-tree and the overlap in the R-tree. This paper ad...

The characteristics of long-term, symbolic learning were investigated using Soar and ACT-R models of a task to rearrange blocks into specific configurations. Long sequences of problems were run collecting data to answer fundamental questions about long-term, symbolic learning. The questions were whether symbolic learning continues indefinitely, how learned knowledge is used, and whether perform...

This paper explores the benefits and challenges of using the ACT-R cognitive architecture in the development of a largescale, functional, cognitively motivated language analysis model. The paper focuses on ACT-R’s declarative memory retrieval mechanism, proposing extensions to support verification of retrieved chunks, multi-level activation spread and carry over activation. The paper argues aga...

The paper presents an experiment on spatial planning in 2D maze-like environments in which participants had to build and execute on-line a plan to reach a target. The experiment manipulated three factors: type of instructions (two levels), number of obstacles in the mazes (four levels), and length of the minimum path to the target (three levels). The instructions were conceived to vary the impo...

In this paper we discuss indexing methods for On-Line Analytical Processing (OLAP) databases. We start with a survey of existing indexing methods and discuss their advantages and shortcomings. We then propose extensions to conventional multidimensional indexing methods to make them more suitable for indexing OLAP data. We compare and contrast R-trees with bit-mapped indices which is the most po...

OpenML is an online machine learning platform where researchers can easily share data, machine learning tasks and experiments as well as organize them online to work and collaborate more efficiently. In this paper, we present an R package to interface with the OpenML platform and illustrate its usage in combination with the machine learning R package mlr (Bischl et al, 2016). We show how the Op...

Reading is a hobby to open the knowledge windows. Besides, it can provide the inspiration and spirit to face this life. By this way, concomitant with the technology development, many companies serve the e-book or book in soft file. The system of this book of course will be much easier. No worry to forget bringing the sap r 3 implementation methods and tools book. You can open the device and get...