In this paper, we propose a decisional architecture composed of three phases. Firstly, a new ETL process for textual data, named ETL-Text, is defined, secondly, a multidimensional text warehouse model, denoted TWM, is designed, and finally, OLAP processing component, named Text-OLAP, is deployed. The proposed TWM model is associated with new dimension types including a meta-data dimension and a...

Consider the following weighted digital sum (WDS) variant: write integer n as n = 21 + 22 + · · · + 2k with i1 > i2 > · · · > ik ≥ 0 and set WM (n) := ∑k t=1 t 2t . This type of weighted digital sum arises (when M = 1) in the analysis of bottom-up mergesort but is not “smooth” enough to permit a clean analysis. We therefore analyze its average TWM (n) := 1 n ∑ j<n WM (j). We show that TWM (n) h...

Most experts agree (Piatetsky-Shapiro, 2000; Thearling, 2007) that data mining began in the 1960s with the advent of computers that could store and process large amounts of data. In the 1980s, data mining became more common and widespread with the distribution of relational databases and SQL. In the 1990s, business saw a boom in data mining as desktop computers and powerful server-class compute...

The coffee leaf miner, Leucoptera coffeella, is a common pest of coffee plantations in Brazil. Though it is effective, chemical control substantially increases the cost of production and constitutes a significant risk for the environment. Resistant coffee cultivars have been and continue being developed through classic and molecular selection techniques. Basic knowledge about the biology of thi...

Rule-based formalisms are ubiquitous in computer science. However, a difficulty that arises frequently when specifying or programming the rules is to determine which effects should be propagated by these rules. In this paper, we present a tool called ARM (Automatic Rule Miner) that generates rules for relations over finite domains. ARM offers a rich functionality to provide the user with the po...

Process mining provides fact-based insights into processes based on behaviour captured in event data. An important aspect of this is the discovery of process models from such data. Traditionally, the focus of process discovery is on learning the ordering of activities. We deviate from this dominating activity view on processes to focus on states and state changes. Specifically, we aim to discov...

This paper demonstrates the use of Data Mining (DM) techniques in exploratory research. A robust model for identifying the factors that explain the success of Open Source Software (OSS) projects is created, validated and tested. The predictive modeling techniques of Logistic Regression (LR), Decision Trees (DT) and Neural Networks (NN) are used together in this analysis. Using Text Mining resul...

Softwares are often built without specification. Tools to automatically extract specification from software are needed and many techniques have been proposed. One type of these specifications – temporal API specification – is often specified in the form of automaton (i.e., FSA/PFSA). There have been many work on mining software temporal specification using dynamic analysis techniques; i.e., ana...

clinical practice. Clin Chem Lab Med 1998;36:163–8. 7. Weinstein RS, Jilka RL, Parfitt AM, Manolagas SC. Inhibition of osteoblastogenesis and promotion of apoptosis of osteoblasts and osteocytes by glucocorticoids. J Clin Invest 1998;102:274–82. 8. Dempster DW. Bone histomorphometry in glucocorticoid-induced osteoporosis. J Bone Miner Res 1989;4:137–41. 9. Saag KG, Emkey R, Schnitzer TJ, Brown ...

In this paper we present three attacks against the predictable solo mining (PSM) scheme. In PSM, miners receive shares for submitting partially valid solutions to the current Proof of Work, adding those shares to their account. When the pool successfully mines a block, the block is awarded to the miner with the most shares, and the rewarded miner “pays” an amount of shares equal to the next hig...