diff --git a/pkgs/applications/science/math/weka/default.nix b/pkgs/applications/science/math/weka/default.nix
index 3d59898098c..78ed209b1f6 100644
--- a/pkgs/applications/science/math/weka/default.nix
+++ b/pkgs/applications/science/math/weka/default.nix
@@ -1,32 +1,34 @@
 { stdenv, fetchurl, jre, unzip }:
 
-stdenv.mkDerivation {
-  name = "weka-3.6.12";
-  
+stdenv.mkDerivation rec {
+  name = "weka-${version}";
+  version = "3.8.0";
+
   src = fetchurl {
-    url = "mirror://sourceforge/weka/weka-3-6-12.zip";
-    sha256 = "0sdhiv1nr5rxgjry05srsnynsydkyny79zvaxdj6dk8m1768qksh";
+    url = "mirror://sourceforge/weka/${stdenv.lib.replaceChars ["."]["-"] name}.zip";
+    sha256 = "2586298688059a025e2810b1ffc73f4fb3cf81ebf2183d8d19b0763d33857f61";
   };
 
   buildInputs = [ unzip ];
-  
+
   # The -Xmx1000M comes suggested from their download page:
   # http://www.cs.waikato.ac.nz/ml/weka/downloading.html
   installPhase = ''
     mkdir -pv $out/share/weka $out/bin
     cp -Rv * $out/share/weka
-    
+
     cat > $out/bin/weka << EOF
     #!${stdenv.shell}
     ${jre}/bin/java -Xmx1000M -jar $out/share/weka/weka.jar
     EOF
-    
+
     chmod +x $out/bin/weka
   '';
-  
+
   meta = {
     homepage = "http://www.cs.waikato.ac.nz/ml/weka/";
     description = "Collection of machine learning algorithms for data mining tasks";
     license = stdenv.lib.licenses.gpl2Plus;
+    maintainer = [stdenv.lib.maintainers.mimadrid];
   };
 }