CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification

Class imbalance classification is a challenging research problem in data mining and machine learning, as most of the real-life datasets are often imbalanced in nature. Existing learning algorithms maximise the classification accuracy by correctly classifying the majority class, but misclassify the minority class. However, the minority class instances are representing the concept with greater interest than the majority class instances in real-life applications. Recently, several techniques based on sampling methods (under-sampling of the majority class and over-sampling the minority class), cost-sensitive learning methods, and ensemble learning have been used in the literature for classifying imbalanced datasets. In this paper, we introduce a new clustering-based under-sampling approach with boosting (AdaBoost) algorithm, called CUSBoost, for effective imbalanced classification. The proposed algorithm provides an alternative to RUSBoost (random under-sampling with AdaBoost) and SMOTEBoost (synthetic minority over-sampling with AdaBoost) algorithms. We evaluated the performance of CUSBoost algorithm with the state-of-the-art methods based on ensemble learning like AdaBoost, RUSBoost, SMOTEBoost on 13 imbalance binary and multi-class datasets with various imbalance ratios. The experimental results show that the CUSBoost is a promising and effective approach for dealing with highly imbalanced datasets.Comment: CSITSS-201

Analysis of Price Forecasting and Spatial Co-Integration of Banana in Bangladesh

The study was conducted for understanding the present situation of marketing system of banana in different hilly  regions of Bangladesh.The objectives of the study were to estimate costs and margins, to test market integration, and price forecasting of Banana. Secondary data was used for this study. So the farmers of Bangladesh who are still suffering from indecision about the future prices of banana, should come forward to fruits farming as the analysis provides a positive insights for fruits cultivation. Engle Granger co-integration test was used to examine the market integration. Analysis of market integration shows that banana market in Bangladesh was well integrated except hilly region of Bangladesh it’s due to lack of well transportation and communication system in hilly region. The study identified some problems related to transportation facilities, lack of agro-processing industries, low prices and natural calamities aspects and suggested some measures for solving these problems. Key words: ARIMA model, Engle Granger co-integration, Price forecasting, Market integration, Banana

Combining Naive Bayes and Decision Tree for Adaptive Intrusion Detection

In this paper, a new learning algorithm for adaptive network intrusion detection using naive Bayesian classifier and decision tree is presented, which performs balance detections and keeps false positives at acceptable level for different types of network attacks, and eliminates redundant attributes as well as contradictory examples from training data that make the detection model complex. The proposed algorithm also addresses some difficulties of data mining such as handling continuous attribute, dealing with missing attribute values, and reducing noise in training data. Due to the large volumes of security audit data as well as the complex and dynamic properties of intrusion behaviours, several data miningbased intrusion detection techniques have been applied to network-based traffic data and host-based data in the last decades. However, there remain various issues needed to be examined towards current intrusion detection systems (IDS). We tested the performance of our proposed algorithm with existing learning algorithms by employing on the KDD99 benchmark intrusion detection dataset. The experimental results prove that the proposed algorithm achieved high detection rates (DR) and significant reduce false positives (FP) for different types of network intrusions using limited computational resources.Comment: 14 Pages, IJNS

Value Addition and Spatial Co-Integration Analysis of Shrimp in Some Selected Areas of Bangladesh

A study was undertaken to examine the marketing system value chin analysis of shrimp in selected areas of Khulna district of Bangladesh during the month of May-June 2012. The objectives of the study were to estimate costs and margins, and to test market integration of shrimp. Primary and secondary data were used for this study. The higher marketing cost was incurred by aratdars and the lowest by retailer. On the other hand, retailers earned the highest net marketing margins. Analysis of market integration shows that Shrimp market in Bangladesh was well integrated. The findings of the study revealed that the marketing of Shrimp was a profitable business and some recommendations were provided for the improvement of Shrimp marketing in the country. Keywords: Engle Granger Co-Integration, Value Chain, Market Integration, Marketing Cost and Margin

Analysis of Spatial Cointegration and Marketing Margin of Tilapia (Oreochromis Niloticus) Fish in Some Selected Areas of Bangladesh

A study was undertaken to examine the marketing system and price behavior of tilapia fish in selected areas of Mymensingh district of Bangladesh during the month of March-May 2012. The objectives of the study were to estimate costs and margins, seasonal price variation and to test market integration of Tilapia fish. Primary and secondary data were used for this study. The higher marketing cost was incurred by aratdars and the lowest by retailer. On the other hand, retailers earned the highest net marketing margins. Analysis of market integration shows that Tilapia fish market in Bangladesh was well integrated. The study identified some problems related to economic, technical, marketing, social and natural calamities aspects and suggested some measures for solving these problems. The findings of the study revealed that the marketing of tilapia was a profitable business and some recommendations were provided for the improvement of tilapia marketing in the country. Keywords: Engle Granger co-integration, Market integration, Marketing margin, Price behavior, Tilapia.